Job Description — Senior Machine Learning Engineer
Reports To: Senior Director of Product Strategy
OVERVIEW:
Sub Rosa is a strategy and design practice headquartered in New York’s West Village. We create strategies and solutions that empower leaders and evolve organizations. Our work is grounded in Applied Empathy, a methodology created by Sub Rosa that brings insights and action together to drive change.
Sub Rosa’s innovation group is developing a high impact solution that will analyze millions of data points to provide a comprehensive analysis on audience behaviors. From unstructured text, images, and documents from multiple data sources, the Sub Rosa innovation team is working to deliver a solution using the full range of Machine Learning (ML) techniques including but not limited to supervised learning, computer vision, deep learning and online learning.
Sub Rosa is looking for a Machine Learning Engineer with an academic or practical background in machine learning, ideally with experience in algorithm design and selection, natural language processing (NLP), and unsupervised clustering algorithms.
Sub Rosa’s Innovation Group hosts a team of creative, tenacious, and extremely bright individuals tasked with building a one of a kind solution that pushes the boundaries of existing AI based technologies. If you’re looking for a challenge and are desirous to buck the status quo, come join our team.
RESPONSIBILITIES:
You will work with the team to design, code, train, test, deploy and iterate on large scale machine learning systems
You will build delightful products and experiences for Fortune 1000 clients, while working alongside an excellent, multi-functional, collaborative team across Engineering, Product and Design
You will help craft the direction of machine learning and artificial intelligence at Sub Rosa
REQUIREMENTS:
BS and/or MS in Computer Science or a related technical field involving Machine Learning, or equivalent technical experience
5+ years of experience building machine learning or AI systems
Strong analytical and problem-solving skills
Strong programming skills in Python or equivalent
Experience with machine learning software packages (e.g. scikit-learn, Weka, TensorFlow, Caffe, Theano, Torch)
Experience in algorithm design, selection and verification
Experience with unsupervised clustering algorithms (e.g. agglomerative hierarchical clustering, k-means clustering, DBSCAN, autoencoders, etc.)
Preference in working in a collaborative team environment
DESIRED QUALIFICATIONS:
PhD/Doctorate in Computer Science or related field with research in machine learning
Experience with natural language processing (NLP) and natural language generation (NLG), especially with unstructured text
APPLICATION PROCESS:
If interested, please provide an up to date resume and link to your GitHub or equivalent account for review.
*Disclaimer
All candidates that apply are requested to take a mandatory HackerRank test online and provide up to two references.
Jul 18, 2019
Full-time
Job Description — Senior Machine Learning Engineer
Reports To: Senior Director of Product Strategy
OVERVIEW:
Sub Rosa is a strategy and design practice headquartered in New York’s West Village. We create strategies and solutions that empower leaders and evolve organizations. Our work is grounded in Applied Empathy, a methodology created by Sub Rosa that brings insights and action together to drive change.
Sub Rosa’s innovation group is developing a high impact solution that will analyze millions of data points to provide a comprehensive analysis on audience behaviors. From unstructured text, images, and documents from multiple data sources, the Sub Rosa innovation team is working to deliver a solution using the full range of Machine Learning (ML) techniques including but not limited to supervised learning, computer vision, deep learning and online learning.
Sub Rosa is looking for a Machine Learning Engineer with an academic or practical background in machine learning, ideally with experience in algorithm design and selection, natural language processing (NLP), and unsupervised clustering algorithms.
Sub Rosa’s Innovation Group hosts a team of creative, tenacious, and extremely bright individuals tasked with building a one of a kind solution that pushes the boundaries of existing AI based technologies. If you’re looking for a challenge and are desirous to buck the status quo, come join our team.
RESPONSIBILITIES:
You will work with the team to design, code, train, test, deploy and iterate on large scale machine learning systems
You will build delightful products and experiences for Fortune 1000 clients, while working alongside an excellent, multi-functional, collaborative team across Engineering, Product and Design
You will help craft the direction of machine learning and artificial intelligence at Sub Rosa
REQUIREMENTS:
BS and/or MS in Computer Science or a related technical field involving Machine Learning, or equivalent technical experience
5+ years of experience building machine learning or AI systems
Strong analytical and problem-solving skills
Strong programming skills in Python or equivalent
Experience with machine learning software packages (e.g. scikit-learn, Weka, TensorFlow, Caffe, Theano, Torch)
Experience in algorithm design, selection and verification
Experience with unsupervised clustering algorithms (e.g. agglomerative hierarchical clustering, k-means clustering, DBSCAN, autoencoders, etc.)
Preference in working in a collaborative team environment
DESIRED QUALIFICATIONS:
PhD/Doctorate in Computer Science or related field with research in machine learning
Experience with natural language processing (NLP) and natural language generation (NLG), especially with unstructured text
APPLICATION PROCESS:
If interested, please provide an up to date resume and link to your GitHub or equivalent account for review.
*Disclaimer
All candidates that apply are requested to take a mandatory HackerRank test online and provide up to two references.
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
Jul 14, 2019
Full-time
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
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.
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 05, 2019
Full-time
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Data Scientists in the ESPN+ Analytics team focus on informing content decisions for ESPN+ 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.
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
2+ 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
Jul 04, 2019
Full-time
Data Scientists in the ESPN+ Analytics team focus on informing content decisions for ESPN+ 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.
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
2+ 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
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 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 Scientist team 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 are looking for a Machine Learning Engineer that enjoys 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:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
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 Scientist team 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 are looking for a Machine Learning Engineer that enjoys 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:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
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 Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
Jun 30, 2019
Full-time
The Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing & Sales center of excellence for Disney Parks, Experiences and Products. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discovery, planning, transacting, and management to enable decision making and optimization. The Travel Operations Analyst will provide measurement and analytical support for contact centers at Walt Disney World. He/she will partner with operations leaders to evaluate the performance of existing processes and develop measurement plans to evaluate new strategies and technology designed to improve the guest experience and drive business results. In order to succeed in the role, the candidate must be comfortable working with partners, preparing recurring reporting, conducting both planned and ad hoc analyses, and communicating insights to stakeholders. This position reports to the Travel Operations Analytics Manager and has no direct reports.
Responsibilities :
Build, maintain, and distribute recurring contact center reporting
Provide analytic expertise on contact center eCommerce teams (web chat, in-app messaging, email)
Perform data discovery and documentation on new data sources
Partner with Data Services teams to build automated processes and troubleshoot data discrepancies
Develop monthly performance recommendations to support the variable pay program
Provide analytical support to the contact center Project Development and Technology Solutions teams, measuring and interpreting the business impact of new initiatives and technology enhancements.
Develop presentations that provide quantitative analysis and recommendations to stakeholders on assigned projects
Basic Qualifications :
1+ years of analytical and data exploration experience
Excellent problem solving skills with the ability to proactively identify and develop solutions to complex questions
Proven ability to manage analytics projects from discovery through completion
Understand how to derive actionable insights from data
Excellent written and verbal communication skills
Ability to maintain and grow relationships with partners/clients/team
Proficiency with reporting, data visualization, and analytical tools such as Excel, SQL, Tableau, R, SAS, and/or Python
Preferred Qualifications :
Understanding of contact center and web metrics
Experience using forecasting methodologies
Demonstrated ability to apply statistical rigor to analysis
Understanding of chat and messaging technology
Experience in text mining, sentiment analysis and/or natural language processing
Required Education :
Bachelor’s degree in an analytical/quantitative field
Preferred Education :
Graduate degree in an analytical/quantitative field
Jun 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing & Sales center of excellence for Disney Parks, Experiences and Products. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discovery, planning, transacting, and management to enable decision making and optimization. The Travel Operations Analyst will provide measurement and analytical support for contact centers at Walt Disney World. He/she will partner with operations leaders to evaluate the performance of existing processes and develop measurement plans to evaluate new strategies and technology designed to improve the guest experience and drive business results. In order to succeed in the role, the candidate must be comfortable working with partners, preparing recurring reporting, conducting both planned and ad hoc analyses, and communicating insights to stakeholders. This position reports to the Travel Operations Analytics Manager and has no direct reports.
Responsibilities :
Build, maintain, and distribute recurring contact center reporting
Provide analytic expertise on contact center eCommerce teams (web chat, in-app messaging, email)
Perform data discovery and documentation on new data sources
Partner with Data Services teams to build automated processes and troubleshoot data discrepancies
Develop monthly performance recommendations to support the variable pay program
Provide analytical support to the contact center Project Development and Technology Solutions teams, measuring and interpreting the business impact of new initiatives and technology enhancements.
Develop presentations that provide quantitative analysis and recommendations to stakeholders on assigned projects
Basic Qualifications :
1+ years of analytical and data exploration experience
Excellent problem solving skills with the ability to proactively identify and develop solutions to complex questions
Proven ability to manage analytics projects from discovery through completion
Understand how to derive actionable insights from data
Excellent written and verbal communication skills
Ability to maintain and grow relationships with partners/clients/team
Proficiency with reporting, data visualization, and analytical tools such as Excel, SQL, Tableau, R, SAS, and/or Python
Preferred Qualifications :
Understanding of contact center and web metrics
Experience using forecasting methodologies
Demonstrated ability to apply statistical rigor to analysis
Understanding of chat and messaging technology
Experience in text mining, sentiment analysis and/or natural language processing
Required Education :
Bachelor’s degree in an analytical/quantitative field
Preferred Education :
Graduate degree in an analytical/quantitative field
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
Jun 28, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
Business Analyst - BABOK
We are seeking a Business Analyst to join our growing biopharmaceutical company. Reporting to the Business Analyst Supervisor, this position is responsible for working with business stakeholders to define and document business processes and software requirements for technology requests. You will regularly engage in multiple initiatives simultaneously across all levels in the organization. This will include teaming with IT developers, business key users, validation and QA staff.
Additional responsibilities of the BA role include:
Collect, analyze and interpret requirements using interviews, document analysis, business process descriptions, business analysis, and task and workflow analysis toward best practice or BABOK standards.
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish the underlying true needs from user requests.
Proactively communicate, collaborate, and facilitate knowledge transfer between internal customers and development team to analyze information needs and functional requirements.
Clearly and concisely document the results of analysis and workflows as well as obtain sign-off from the internal customers.
Assist technical writer in the design of test scripts and test scenarios. Coordinate with the business users who test, validate, and evaluate new applications and functions, and determine issues in services and software.
Serve as the conduit between the internal customer community and the software development team through which requirements flow.
Job Requirements
Qualified candidates of this role must offer a Bachelor's degree in information technology or a related field. You must offer excellent communication, technical and project management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
Technical skills and experience required of the BA role include:
Minimum of 5 years experience as a Business Analyst
Minimum of 5 years experience creating, editing and revising technical documentation such as process diagrams, flow charts, procedure manuals and training materials
Demonstrated ability to successfully engage in multiple initiatives simultaneously across all levels in an organization
Willingness to drive and challenge business users on their assumptions of how they will successfully execute their plans
Ability to read and interpret moderately complex or technical documents such as laws, regulations, safety rules, operating and maintenance instructions and procedure manuals
Ability to solve practical problems and handle a variety of concrete variables and interpret information furnished in written, oral and/or diagram form
Ability to speak, read, write and understand English
H1B sponsorship not available
Benefits
At Octapharma Plasma we believe in our employees who have the passion and ability to make a difference to the quality of life of their communities. The individual growth and success of each and every employee at Octapharma Plasma is an integral part of our continued growth and success. We offer competitive compensation and a comprehensive benefits package.
Other benefits of the BA role include:
Medical, Dental and Vision Insurance
Life Insurance
401(k) contribution and matching program
Flexible Spending Accounts
Tuition Reimbursement
Team-oriented environment
Jun 19, 2019
Full-time
Business Analyst - BABOK
We are seeking a Business Analyst to join our growing biopharmaceutical company. Reporting to the Business Analyst Supervisor, this position is responsible for working with business stakeholders to define and document business processes and software requirements for technology requests. You will regularly engage in multiple initiatives simultaneously across all levels in the organization. This will include teaming with IT developers, business key users, validation and QA staff.
Additional responsibilities of the BA role include:
Collect, analyze and interpret requirements using interviews, document analysis, business process descriptions, business analysis, and task and workflow analysis toward best practice or BABOK standards.
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish the underlying true needs from user requests.
Proactively communicate, collaborate, and facilitate knowledge transfer between internal customers and development team to analyze information needs and functional requirements.
Clearly and concisely document the results of analysis and workflows as well as obtain sign-off from the internal customers.
Assist technical writer in the design of test scripts and test scenarios. Coordinate with the business users who test, validate, and evaluate new applications and functions, and determine issues in services and software.
Serve as the conduit between the internal customer community and the software development team through which requirements flow.
Job Requirements
Qualified candidates of this role must offer a Bachelor's degree in information technology or a related field. You must offer excellent communication, technical and project management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
Technical skills and experience required of the BA role include:
Minimum of 5 years experience as a Business Analyst
Minimum of 5 years experience creating, editing and revising technical documentation such as process diagrams, flow charts, procedure manuals and training materials
Demonstrated ability to successfully engage in multiple initiatives simultaneously across all levels in an organization
Willingness to drive and challenge business users on their assumptions of how they will successfully execute their plans
Ability to read and interpret moderately complex or technical documents such as laws, regulations, safety rules, operating and maintenance instructions and procedure manuals
Ability to solve practical problems and handle a variety of concrete variables and interpret information furnished in written, oral and/or diagram form
Ability to speak, read, write and understand English
H1B sponsorship not available
Benefits
At Octapharma Plasma we believe in our employees who have the passion and ability to make a difference to the quality of life of their communities. The individual growth and success of each and every employee at Octapharma Plasma is an integral part of our continued growth and success. We offer competitive compensation and a comprehensive benefits package.
Other benefits of the BA role include:
Medical, Dental and Vision Insurance
Life Insurance
401(k) contribution and matching program
Flexible Spending Accounts
Tuition Reimbursement
Team-oriented environment
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
Jul 19, 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
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
We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data.
Responsibilities :
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior.
Partner with cross-functional colleagues to identify and report on short-term and long-term performance.
Implementing self-service tools used to access disparate data sources (both legacy and cloud-based).
Train and support colleagues in the use of self-service data exploration and visualization tools.
Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies.
Perform ad hoc analysis as necessary.
Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business.
Basic Qualifications :
2+ years of relevant experience.
1+ years work experience implementing and reporting on business key performance indicators.
1+ years work experience using SQL is required.
Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift.
Additional programming languages (e.g. Python, R) preferred.
Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Degree in an analytical field such as economics, mathematics, or computer science is desired.
Comfortable working in a fast-paced and highly collaborative environment.
Jul 05, 2019
Full-time
We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data.
Responsibilities :
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior.
Partner with cross-functional colleagues to identify and report on short-term and long-term performance.
Implementing self-service tools used to access disparate data sources (both legacy and cloud-based).
Train and support colleagues in the use of self-service data exploration and visualization tools.
Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies.
Perform ad hoc analysis as necessary.
Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business.
Basic Qualifications :
2+ years of relevant experience.
1+ years work experience implementing and reporting on business key performance indicators.
1+ years work experience using SQL is required.
Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift.
Additional programming languages (e.g. Python, R) preferred.
Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Degree in an analytical field such as economics, mathematics, or computer science is desired.
Comfortable working in a fast-paced and highly collaborative environment.
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms.
Responsibilities :
Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics.
Partner with the Vice President, Data Platforms Product Management and Vice President, Data
Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data
Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives.
Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives.
Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills.
Specific Responsibilities :
Define the data quality strategy and liaise to ensure proper implementation
Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance
Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data.
Document the security and privacy requirements for different categories of TWDC and DTCI data
Basic Qualifications :
Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred
Excellent communication skills (oral and written) and organizational skills
Able to communicate at multiple levels ranging from front-line personnel to C-level executives
Demonstrates deep understanding of database related audit and compliance goals and processes
Must possess the proven ability to assess information security, policies and procedures and operational risk
Background in data and information management projects, operating in a highly complex and regulated environment
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data
Document the security and privacy requirements for different categories of TWDC and DTCI data
Required Education :
Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.
Jul 04, 2019
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms.
Responsibilities :
Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics.
Partner with the Vice President, Data Platforms Product Management and Vice President, Data
Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data
Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives.
Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives.
Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills.
Specific Responsibilities :
Define the data quality strategy and liaise to ensure proper implementation
Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance
Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data.
Document the security and privacy requirements for different categories of TWDC and DTCI data
Basic Qualifications :
Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred
Excellent communication skills (oral and written) and organizational skills
Able to communicate at multiple levels ranging from front-line personnel to C-level executives
Demonstrates deep understanding of database related audit and compliance goals and processes
Must possess the proven ability to assess information security, policies and procedures and operational risk
Background in data and information management projects, operating in a highly complex and regulated environment
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data
Document the security and privacy requirements for different categories of TWDC and DTCI data
Required Education :
Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
Jul 04, 2019
Full-time
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
