About the Job
The Metrics and Impact Analyst will gather, maintain and analyze strategic data for DAWI and the field. This position is the critical next step in a growing organization and field, and will support taking our work and our impact to the next level.
The relatively young field of employee ownership is exploding, with the passage of new federal legislation, policy and funding developments in cities across the country, new investments, a growing community of practitioners, and broadening public appeal as a strategy to address inequality. Democracy at Work Institute is helping both drive and track this growth, and data is a key part of the expansion. As a convening organization, our work (and our data) is often at the center of the action, and we work in close collaboration with several partners. DAWI collects and stores much of the field’s data on worker cooperatives, cooperative development and impacts. In short, we sit on a rich trove of data and data to-be, and we need someone who can think critically and creatively about its use.
This is a newly-created position, with potential to shape the field for the long term, as you help DAWI and our partners understand our impact, communicate it, and achieve even more. You will be stepping into a strong infrastructure and building it out to support and sustain field-wide growth. We are most interested in hiring a well-rounded person who understands data, systems, people, and political context. This position calls for a systems thinker who is both meticulous and innovative, and who holds the practical use of data highest in mind. You will be maintaining existing datasets and designing new data collection systems; reporting and assessing; and working with DAWI staff and allies to make use of data in their work.
Essential Job Functions:
Maintain and build out DAWI’s program data (45%) Knit together DAWI’s various data tracking systems and build systems across programs. Assess which tools are best and migrate data as needed. Maintain and improve:
Foundational datasets: Supervise administration and analysis of enterprise census, individual worker census, and cooperative developer impact data.
Collaborative datasets: Support collection of Workers to Owners Collaborative partner data on the nationwide employee ownership conversions pipeline.
NYC Worker Cooperative Business Development Initiative data: As the “backbone partner” track partners’ progress to goals, support City staff to report impacts, and develop/track additional success metrics for WCBDI partners; supervise entry of DAWI deliverables in NYC’s Small Business Services CRM.
DAWI online resource libraries: organize and maintain resources at institute.coop, our library of local policies, and others as they come online.
Analyze and communicate impact (20%) Work with DAWI staff, leadership and field partners to:
Analyze DAWI program data for shaping programs and feeding back to partners. Frame questions and design/collection considerations on the front end. Help detect strategy-informing patterns on the back end.
Analyze field data that DAWI gathers and maintains, support developing field strategy, and communicating impact publicly.
Share and communicate data, potentially including supporting data visualization.
Develop, implement and evaluate impact metrics (10%)
Work with program staff and partners to develop and track a standard set of impact metrics for the field.
Support KPI tracking in DAWI’s programs, which includes implementation of field-wide metrics as well as DAWI-specific metrics.
Consult with and advise partners on design of data tracking and information systems.
Manage operational data for DAWI (10%)
Perform basic CiviCRM database management and security functions, with some support from the website host and database developers.
Oversee and perform input, import, deduping/merging and export of contacts, activities, and events in the database.
Design and make revisions to DAWI’s data model/database structure as necessary.
Make updates to and create new views and webforms as necessary.
Coordinate DAWI staff “data leaders” to support accurate and complete data entry and engagement with the database.
Coordinate data sharing between DAWI and USFWC.
Strategic research support (5%)
As capacity and interest allows, collaborate with DAWI staff and/or contract researchers to conduct strategic research.
Administration and Organizational Development (10%)
Support effective operations and administrative systems, as all DAWI staff does.
Maintain effective project management and reporting systems to track and share information about work with all staff.
Participate in DAWI staff functions, including giving input on management and governance of the organization.
Attend staff meetings, project meetings, supervisorial meetings as needed.
Attend and present at relevant field events, build relationships in the field.
Take part in regular skills training and professional development opportunities, using professional development budget supplied by DAWI.
Skills and Qualities We Seek
Required:
Proficiency with any of the following CRM systems is required: CiviCRM, Airtable, Salesforce, or others that use MySQL, Oracle, or Microsoft software. Some level of experience with Drupal is strongly preferred.
Experience with basic office tools (Microsoft Office Suite, social media platforms and applications, online project management systems, online/remote meeting tools) is required. Facility with new technology is a must.
Strong written and verbal communication skills are required, particularly the ability to explain technical data and processes to co-workers.
Attention to detail, consistency, and a generally meticulous approach to work are required.
Remote work is required. You will need to be able to work independently to prioritize and execute day to day tasks, with self-management systems in place.
Willingness and ability to constructively share ideas and collaborate with both senior and junior staff is required, as we are a small and highly collaborative team.
Desired:
Statistics background is desired (academic or other professional experience) for future survey work.
Experience with data visualization is desired, but not required.
Academic training may be helpful, but is in no way required for this position. We care most about your ability to set up and manage systems, think strategically about impact data, and communicate well.
We value emotional intelligence, kindness, and sense of humor. Diplomacy, judgment, and discretion are important in this position.
Passion for social justice, racial equity, small business, and/or labor organizing, and ability to identify the larger issues at play is strongly desired. Familiarity with or interest in employee ownership and worker cooperatives will be important to cultivate.
We are seeking a candidate with at least five years experience doing this kind of work. The ideal applicant will have a decent amount of experience with systems design and improvement, and be able to do and supervise this for DAWI, but will also be willing and able to do the hands-on work of data management and reporting.
About Being on Staff:
Started in 2013, DAWI is a relatively young organization, and all staffers are expected to help build organizational capacity, including organizational processes and documents. A certain amount of travel for all staffers is expected and supported. We are a remote organization with offices in Oakland and New York. This allows us to have staff all over the country, and to create flexible working hours and locations. It can also be challenging for developing systems, getting buy-in for their use, and maintaining consistency of practice —a key part of this job. For this position, we prefer someone who can work out of our New York office, but we will consider strong candidates from all locations. We are open to contractors.
We love our work, and we work hard, but we also strive for work-life balance. We are a tight-knit team with extremely low staff turnover. Full-time staff are eligible for membership in the organization after 6 months of employment. Members are eligible to serve on the board of directors, elect two directors, and participate in the strategic guidance of the organization. A certain amount of travel for all staffers will be expected and supported. Ability and willingness to learn and help improve the technological tools for remote working is also expected.
Notice of Nondiscrimination:
Democracy at Work Institute (DAWI) is committed to a multi-racial and class-diverse staff that reflects the future of worker cooperatives. Women, people of color and others who may be underrepresented at senior levels of the nonprofit workforce are strongly encouraged to apply. DAWI is committed to equal opportunity for all persons without regard to sex, age, race, color, religion, creed, national origin, marital status, disability, or sexual orientation, and any other class of individuals protected from discrimination under state or federal law. It is the policy of DAWI to comply with all federal, state, and local laws and regulations regarding equal opportunity. In keeping with that policy, DAWI is committed to maintaining a work environment that is free of unlawful discrimination and harassment. Accordingly, DAWI will not tolerate unlawful discrimination against or harassment of any of our employees or others present at our facilities by anyone, including any supervisor, coworker, vendor, client, or customer of DAWI.
Benefits
DAWI offers full health benefits coverage for employees, including dental and vision; participation in a 401(k) plan; a generous time off policy; and a professional development budget.
How to Apply
Click the "Apply Now" button on this page to email a cover letter, resume, and 2-3 paragraph statement of interest and competencies for this particular position. Include the subject line “Application for Metrics and Impact Analyst position.” Deadline for applications: August 5, 2019.
Jul 18, 2019
Full-time
About the Job
The Metrics and Impact Analyst will gather, maintain and analyze strategic data for DAWI and the field. This position is the critical next step in a growing organization and field, and will support taking our work and our impact to the next level.
The relatively young field of employee ownership is exploding, with the passage of new federal legislation, policy and funding developments in cities across the country, new investments, a growing community of practitioners, and broadening public appeal as a strategy to address inequality. Democracy at Work Institute is helping both drive and track this growth, and data is a key part of the expansion. As a convening organization, our work (and our data) is often at the center of the action, and we work in close collaboration with several partners. DAWI collects and stores much of the field’s data on worker cooperatives, cooperative development and impacts. In short, we sit on a rich trove of data and data to-be, and we need someone who can think critically and creatively about its use.
This is a newly-created position, with potential to shape the field for the long term, as you help DAWI and our partners understand our impact, communicate it, and achieve even more. You will be stepping into a strong infrastructure and building it out to support and sustain field-wide growth. We are most interested in hiring a well-rounded person who understands data, systems, people, and political context. This position calls for a systems thinker who is both meticulous and innovative, and who holds the practical use of data highest in mind. You will be maintaining existing datasets and designing new data collection systems; reporting and assessing; and working with DAWI staff and allies to make use of data in their work.
Essential Job Functions:
Maintain and build out DAWI’s program data (45%) Knit together DAWI’s various data tracking systems and build systems across programs. Assess which tools are best and migrate data as needed. Maintain and improve:
Foundational datasets: Supervise administration and analysis of enterprise census, individual worker census, and cooperative developer impact data.
Collaborative datasets: Support collection of Workers to Owners Collaborative partner data on the nationwide employee ownership conversions pipeline.
NYC Worker Cooperative Business Development Initiative data: As the “backbone partner” track partners’ progress to goals, support City staff to report impacts, and develop/track additional success metrics for WCBDI partners; supervise entry of DAWI deliverables in NYC’s Small Business Services CRM.
DAWI online resource libraries: organize and maintain resources at institute.coop, our library of local policies, and others as they come online.
Analyze and communicate impact (20%) Work with DAWI staff, leadership and field partners to:
Analyze DAWI program data for shaping programs and feeding back to partners. Frame questions and design/collection considerations on the front end. Help detect strategy-informing patterns on the back end.
Analyze field data that DAWI gathers and maintains, support developing field strategy, and communicating impact publicly.
Share and communicate data, potentially including supporting data visualization.
Develop, implement and evaluate impact metrics (10%)
Work with program staff and partners to develop and track a standard set of impact metrics for the field.
Support KPI tracking in DAWI’s programs, which includes implementation of field-wide metrics as well as DAWI-specific metrics.
Consult with and advise partners on design of data tracking and information systems.
Manage operational data for DAWI (10%)
Perform basic CiviCRM database management and security functions, with some support from the website host and database developers.
Oversee and perform input, import, deduping/merging and export of contacts, activities, and events in the database.
Design and make revisions to DAWI’s data model/database structure as necessary.
Make updates to and create new views and webforms as necessary.
Coordinate DAWI staff “data leaders” to support accurate and complete data entry and engagement with the database.
Coordinate data sharing between DAWI and USFWC.
Strategic research support (5%)
As capacity and interest allows, collaborate with DAWI staff and/or contract researchers to conduct strategic research.
Administration and Organizational Development (10%)
Support effective operations and administrative systems, as all DAWI staff does.
Maintain effective project management and reporting systems to track and share information about work with all staff.
Participate in DAWI staff functions, including giving input on management and governance of the organization.
Attend staff meetings, project meetings, supervisorial meetings as needed.
Attend and present at relevant field events, build relationships in the field.
Take part in regular skills training and professional development opportunities, using professional development budget supplied by DAWI.
Skills and Qualities We Seek
Required:
Proficiency with any of the following CRM systems is required: CiviCRM, Airtable, Salesforce, or others that use MySQL, Oracle, or Microsoft software. Some level of experience with Drupal is strongly preferred.
Experience with basic office tools (Microsoft Office Suite, social media platforms and applications, online project management systems, online/remote meeting tools) is required. Facility with new technology is a must.
Strong written and verbal communication skills are required, particularly the ability to explain technical data and processes to co-workers.
Attention to detail, consistency, and a generally meticulous approach to work are required.
Remote work is required. You will need to be able to work independently to prioritize and execute day to day tasks, with self-management systems in place.
Willingness and ability to constructively share ideas and collaborate with both senior and junior staff is required, as we are a small and highly collaborative team.
Desired:
Statistics background is desired (academic or other professional experience) for future survey work.
Experience with data visualization is desired, but not required.
Academic training may be helpful, but is in no way required for this position. We care most about your ability to set up and manage systems, think strategically about impact data, and communicate well.
We value emotional intelligence, kindness, and sense of humor. Diplomacy, judgment, and discretion are important in this position.
Passion for social justice, racial equity, small business, and/or labor organizing, and ability to identify the larger issues at play is strongly desired. Familiarity with or interest in employee ownership and worker cooperatives will be important to cultivate.
We are seeking a candidate with at least five years experience doing this kind of work. The ideal applicant will have a decent amount of experience with systems design and improvement, and be able to do and supervise this for DAWI, but will also be willing and able to do the hands-on work of data management and reporting.
About Being on Staff:
Started in 2013, DAWI is a relatively young organization, and all staffers are expected to help build organizational capacity, including organizational processes and documents. A certain amount of travel for all staffers is expected and supported. We are a remote organization with offices in Oakland and New York. This allows us to have staff all over the country, and to create flexible working hours and locations. It can also be challenging for developing systems, getting buy-in for their use, and maintaining consistency of practice —a key part of this job. For this position, we prefer someone who can work out of our New York office, but we will consider strong candidates from all locations. We are open to contractors.
We love our work, and we work hard, but we also strive for work-life balance. We are a tight-knit team with extremely low staff turnover. Full-time staff are eligible for membership in the organization after 6 months of employment. Members are eligible to serve on the board of directors, elect two directors, and participate in the strategic guidance of the organization. A certain amount of travel for all staffers will be expected and supported. Ability and willingness to learn and help improve the technological tools for remote working is also expected.
Notice of Nondiscrimination:
Democracy at Work Institute (DAWI) is committed to a multi-racial and class-diverse staff that reflects the future of worker cooperatives. Women, people of color and others who may be underrepresented at senior levels of the nonprofit workforce are strongly encouraged to apply. DAWI is committed to equal opportunity for all persons without regard to sex, age, race, color, religion, creed, national origin, marital status, disability, or sexual orientation, and any other class of individuals protected from discrimination under state or federal law. It is the policy of DAWI to comply with all federal, state, and local laws and regulations regarding equal opportunity. In keeping with that policy, DAWI is committed to maintaining a work environment that is free of unlawful discrimination and harassment. Accordingly, DAWI will not tolerate unlawful discrimination against or harassment of any of our employees or others present at our facilities by anyone, including any supervisor, coworker, vendor, client, or customer of DAWI.
Benefits
DAWI offers full health benefits coverage for employees, including dental and vision; participation in a 401(k) plan; a generous time off policy; and a professional development budget.
How to Apply
Click the "Apply Now" button on this page to email a cover letter, resume, and 2-3 paragraph statement of interest and competencies for this particular position. Include the subject line “Application for Metrics and Impact Analyst position.” Deadline for applications: August 5, 2019.
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Jul 12, 2019
Part-time
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Jun 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Jun 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities:
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
Jun 20, 2019
Full-time
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities:
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
POSITION SUMMARY:
The Director of Analytics will lead the analysis and interpretation of high-throughput sequencing study analytical and clinical study data, in support of Archer’s Companion Diagnostics program.
RESPONSIBILITIES INCLUDE:
Serve as statistical analysis and interpretation subject matter expert for the development and validation of diagnostic products;
Develop statistical plans and study designs for analytical studies;
Provide unified oversight for business processes, data standards, and analysis systems;
Communicate with regulatory agencies and IVD business partners;
Develop standard operating procedures for data analysis, according to applicable regulatory guidelines;
Author protocols, reports, pre-submissions, IDE and other PMA submission related documentation for molecular diagnostic applications.
REQUIRED EXPERIENCE:
Proficiency in SAS or R programming is required; proficiency in both preferred;
Training in the theory and application of statistics;
Experience with molecular assay validation; next generation sequencing data experience preferred
REQUIRED SKILLS:
Demonstrated ability to work within a commercial environment and influence in a cross functional role;
Proven track record in communications including presentations, journal publications and training;
Ability to create high-quality data visualizations to explain new analyses and concepts to technical and non-technical stakeholders
EDUCATION:
PhD or other advanced degree in Statistics, Biostatistics or related field;
May 31, 2019
Full-time
POSITION SUMMARY:
The Director of Analytics will lead the analysis and interpretation of high-throughput sequencing study analytical and clinical study data, in support of Archer’s Companion Diagnostics program.
RESPONSIBILITIES INCLUDE:
Serve as statistical analysis and interpretation subject matter expert for the development and validation of diagnostic products;
Develop statistical plans and study designs for analytical studies;
Provide unified oversight for business processes, data standards, and analysis systems;
Communicate with regulatory agencies and IVD business partners;
Develop standard operating procedures for data analysis, according to applicable regulatory guidelines;
Author protocols, reports, pre-submissions, IDE and other PMA submission related documentation for molecular diagnostic applications.
REQUIRED EXPERIENCE:
Proficiency in SAS or R programming is required; proficiency in both preferred;
Training in the theory and application of statistics;
Experience with molecular assay validation; next generation sequencing data experience preferred
REQUIRED SKILLS:
Demonstrated ability to work within a commercial environment and influence in a cross functional role;
Proven track record in communications including presentations, journal publications and training;
Ability to create high-quality data visualizations to explain new analyses and concepts to technical and non-technical stakeholders
EDUCATION:
PhD or other advanced degree in Statistics, Biostatistics or related field;
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Jul 18, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities :
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education :
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Jul 17, 2019
Full-time
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities :
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education :
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications :
Working within the Marketing/Advertising vertical
Experience with Data Management Platforms (BlueKai preferred) and Liveramp
Machine learning experience
Experience with distributed databases and query languages like Spark and Scala
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 05, 2019
Full-time
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications :
Working within the Marketing/Advertising vertical
Experience with Data Management Platforms (BlueKai preferred) and Liveramp
Machine learning experience
Experience with distributed databases and query languages like Spark and Scala
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
Jul 05, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
Jun 27, 2019
Full-time
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications:
4+ years of analytical experience.
2+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
Jun 27, 2019
Full-time
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications:
4+ years of analytical experience.
2+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities:
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications:
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Jun 27, 2019
Full-time
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities:
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications:
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being part of Walt Disney Attractions Technology (WDAT) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As the Senior Manager in the Information Advantage (IA) organization, you will be working in latest big data, cloud and AI/ML technologies and responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects across business functions. This role will oversee the end to end program delivery, technical success of the projects and develop a repeatable delivery framework across various initiatives.
Responsibilities:
Responsible for delivering large scale projects on time, budget and high quality.
Leading large programs from ideation, solution, estimation, implementation and sustainment.
Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Ability to facilitate business, technical and management discussion with large diverse groups and provide leadership support.
Ability to develop integrated release planning for large programs across multiple teams and instill agile and development methodology processes. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Responsible for executive and management reporting on status, accomplishments and on time escalation for issue resolution.
Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore).
Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality.
Manage buget effectively working closely with finance controllership and able to build forecast and minimizing actual variance.
Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers.
Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects
Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels across the Walt Disney Company.
Develop and manage effective working relationships with other departments, groups and staff
Enforce and grow a culture focused on quality
Basic Qualifications:
15+ years of experience in technology especially in data management space including delivering atleast 5+ multi-million dollar data management delivery projects
5+ years of experience in delivering technology initiatives involving big data, cloud and data science capabilities.
Experience and understanding of modern data technologies and patterns especially Hadoop, Python, Spark, cloud native data management process, NoSQL databases, docker containers, etc
Experience working cloud platforms such as AWS, Google Cloud, Azure
Experience with ML frameworks and understanding of algorithms (regression, classification, etc) is a big plus
Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns
Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into business solutions
Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the Data Management, Cloud and ML Framework
Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome
Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems
Passionate about data, technology, and challenging the status quo
Proven experience providing technical mentorship to team members
Comfortable working in a team environment using agile methodologies
Strong communication, interpersonal skills and fortitude to get stuff done
Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research
Experience in a large media or technology company and working with revenue management, digital, customer engagement initiatives is a big plus
Success at delivering large scale technology delivery projects on-time and on-budget.
A comfort level with complex, matrixed organizations containing a certain amount of ambiguity
Preferred Qualifications:
Master’s degree in computer science or related field/work experience
Jun 20, 2019
Full-time
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being part of Walt Disney Attractions Technology (WDAT) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As the Senior Manager in the Information Advantage (IA) organization, you will be working in latest big data, cloud and AI/ML technologies and responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects across business functions. This role will oversee the end to end program delivery, technical success of the projects and develop a repeatable delivery framework across various initiatives.
Responsibilities:
Responsible for delivering large scale projects on time, budget and high quality.
Leading large programs from ideation, solution, estimation, implementation and sustainment.
Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Ability to facilitate business, technical and management discussion with large diverse groups and provide leadership support.
Ability to develop integrated release planning for large programs across multiple teams and instill agile and development methodology processes. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Responsible for executive and management reporting on status, accomplishments and on time escalation for issue resolution.
Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore).
Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality.
Manage buget effectively working closely with finance controllership and able to build forecast and minimizing actual variance.
Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers.
Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects
Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels across the Walt Disney Company.
Develop and manage effective working relationships with other departments, groups and staff
Enforce and grow a culture focused on quality
Basic Qualifications:
15+ years of experience in technology especially in data management space including delivering atleast 5+ multi-million dollar data management delivery projects
5+ years of experience in delivering technology initiatives involving big data, cloud and data science capabilities.
Experience and understanding of modern data technologies and patterns especially Hadoop, Python, Spark, cloud native data management process, NoSQL databases, docker containers, etc
Experience working cloud platforms such as AWS, Google Cloud, Azure
Experience with ML frameworks and understanding of algorithms (regression, classification, etc) is a big plus
Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns
Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into business solutions
Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the Data Management, Cloud and ML Framework
Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome
Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems
Passionate about data, technology, and challenging the status quo
Proven experience providing technical mentorship to team members
Comfortable working in a team environment using agile methodologies
Strong communication, interpersonal skills and fortitude to get stuff done
Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research
Experience in a large media or technology company and working with revenue management, digital, customer engagement initiatives is a big plus
Success at delivering large scale technology delivery projects on-time and on-budget.
A comfort level with complex, matrixed organizations containing a certain amount of ambiguity
Preferred Qualifications:
Master’s degree in computer science or related field/work experience
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 04, 2019
Full-time
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
May 04, 2019
Full-time
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
Fidelity Investments is an equal opportunity employer.
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
