Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Systems Department in the U.S. office of Doctors Without Borders/ Médecins Sans Frontières (MSF) acts like the organization's central nervous system, providing the vital information infrastructure to ensure the smooth functioning of all its operations. The Systems Department is responsible for building, configuring and maintaining the technical architecture, both physical and virtual, which ensures MSF can achieve the ambitions of its mission.
Project
MSF-USA is seeking an experienced Data Architect to work closely with our software and application design and implementation teams to recommend database structures based on the data storage and retrieval needs within each department and business unit. The Data Architect will be responsible for helping the organization with everything from developing a strategy for enterprise information management and developing reporting systems to monitoring our database environments and devising routines for continuously improving the data structures and quality. The successful candidate will also provide analysis and recommendations to the Systems Department leadership and project management team for improving the overall quality of data and its usability.
The Data Architect will develop a viable roadmap to ensure a successful data management strategy with the enterprise, including but not limited to CRM, Digital Marketing, HR and Financial Systems. The Data Architect may also be called upon to provide expertise and support to the fundraising department on data analysis and fulfilling data requests, working closely with the Senior Data Analyst in the fundraising department.
Essential Functions and Responsibilities
Development of Enterprise Data Architecture (75%):
Provide insight into the changing database storage and utilization requirements for MSF-USA and offer suggestions for solutions, working with Systems Department Business Analysts as a liaison with departmental users to ensure changing requirements are appropriate and well-understood by all stakeholders
Define and maintain a comprehensive Entity Relationship Model across departments and business units; model and design the applications data structure, storage, and integration
Create data monitoring models for each product within the enterprise roadmap and update models as necessary, especially as they are affected by new releases
Develop database design and architecture documentation across departments
Help maintain the integrity and security of the organization’s databases; work with the Information Security Manager to establish privilege-based access to sensitive data across the enterprise
Work with the users, vendor solution architects/designers and business analysts to define the data requirements and structure for the applications
Work with the integration solution architects and designers to design the integration solutions
Assist in determining the cross-application data standards, data distribution standards and tuning strategies
Review the database deliverables throughout development to ensure quality and traceability to requirements and adherence to all quality management plans and standards
Ensure that the developers and database administrators responsible for developing the database thoroughly understand the requirements and designs
Consider the data backup and replication requirements as part of the Business Continuity Plan for each enterprise application
Ensure security in reporting and data storage
Senior Data Analyst Support (25%):
Work on report developments, data cleansing and/or de-duplication processes
Support Senior Data Analyst in increased automation of ETL routines for routine marketing campaign data requirements
Support ad hoc data requests and challenges for marketing campaign fulfillment and other data requests from the fundraising teams
Extent of Public Contact
The Data Architect will have frequent contact with people outside the organization including vendors, consultants, volunteers, donor advisory boards and members of the public.
Qualifications
Required
Bachelor’s degree in computer engineering or related field (master’s degree preferred)
5-7 years of experience with information technology programs and services, with demonstrated expertise in enterprise data management and related technologies.
5-7 years of data architect experience.
Experience with data modeling tools and data repository technologies (e.g., data warehouses, data-marts, etc.)
Knowledge of Agile development methodology and concepts.
Understanding of information systems and data life-cycle management best practices and methodologies, formal systems engineering life cycle (SELC), and systems development life cycle (SDLC).
Experience with web services, enterprise data management, master data management, information security, applications development, and cloud-based architectures.
Experience with enterprise data management technologies, including database platforms, ETL tools, and SQL.
Solid technical background with understanding and/or hands-on experience with CRM, Marketing, HR and/or Financial systems.
Solid organizational skills including attention to detail and multi-tasking skills
Preferred
Experience with implementation, administration and use of SalesForce CRM/Marketing Cloud and NetSuite ERP strongly preferred
Familiarity with non-profit fundraising technologies and principles
Strong commitment to MSF mission and humanitarian principles
Additional Information
Starting salary
High 80s to low 90s (commensurate with experience).
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Open ended Contract
Desired Hiring Date
April 1st, 2019
Working Time %
100,00
How to Apply
To apply, click the "Apply Now" button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Architect ” position.
Submissions without cover letter will not be reviewed. No phone calls please.
Application Deadline: March 1, 2019, 11:59 pm EST.
Feb 14, 2019
Full-time
Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Systems Department in the U.S. office of Doctors Without Borders/ Médecins Sans Frontières (MSF) acts like the organization's central nervous system, providing the vital information infrastructure to ensure the smooth functioning of all its operations. The Systems Department is responsible for building, configuring and maintaining the technical architecture, both physical and virtual, which ensures MSF can achieve the ambitions of its mission.
Project
MSF-USA is seeking an experienced Data Architect to work closely with our software and application design and implementation teams to recommend database structures based on the data storage and retrieval needs within each department and business unit. The Data Architect will be responsible for helping the organization with everything from developing a strategy for enterprise information management and developing reporting systems to monitoring our database environments and devising routines for continuously improving the data structures and quality. The successful candidate will also provide analysis and recommendations to the Systems Department leadership and project management team for improving the overall quality of data and its usability.
The Data Architect will develop a viable roadmap to ensure a successful data management strategy with the enterprise, including but not limited to CRM, Digital Marketing, HR and Financial Systems. The Data Architect may also be called upon to provide expertise and support to the fundraising department on data analysis and fulfilling data requests, working closely with the Senior Data Analyst in the fundraising department.
Essential Functions and Responsibilities
Development of Enterprise Data Architecture (75%):
Provide insight into the changing database storage and utilization requirements for MSF-USA and offer suggestions for solutions, working with Systems Department Business Analysts as a liaison with departmental users to ensure changing requirements are appropriate and well-understood by all stakeholders
Define and maintain a comprehensive Entity Relationship Model across departments and business units; model and design the applications data structure, storage, and integration
Create data monitoring models for each product within the enterprise roadmap and update models as necessary, especially as they are affected by new releases
Develop database design and architecture documentation across departments
Help maintain the integrity and security of the organization’s databases; work with the Information Security Manager to establish privilege-based access to sensitive data across the enterprise
Work with the users, vendor solution architects/designers and business analysts to define the data requirements and structure for the applications
Work with the integration solution architects and designers to design the integration solutions
Assist in determining the cross-application data standards, data distribution standards and tuning strategies
Review the database deliverables throughout development to ensure quality and traceability to requirements and adherence to all quality management plans and standards
Ensure that the developers and database administrators responsible for developing the database thoroughly understand the requirements and designs
Consider the data backup and replication requirements as part of the Business Continuity Plan for each enterprise application
Ensure security in reporting and data storage
Senior Data Analyst Support (25%):
Work on report developments, data cleansing and/or de-duplication processes
Support Senior Data Analyst in increased automation of ETL routines for routine marketing campaign data requirements
Support ad hoc data requests and challenges for marketing campaign fulfillment and other data requests from the fundraising teams
Extent of Public Contact
The Data Architect will have frequent contact with people outside the organization including vendors, consultants, volunteers, donor advisory boards and members of the public.
Qualifications
Required
Bachelor’s degree in computer engineering or related field (master’s degree preferred)
5-7 years of experience with information technology programs and services, with demonstrated expertise in enterprise data management and related technologies.
5-7 years of data architect experience.
Experience with data modeling tools and data repository technologies (e.g., data warehouses, data-marts, etc.)
Knowledge of Agile development methodology and concepts.
Understanding of information systems and data life-cycle management best practices and methodologies, formal systems engineering life cycle (SELC), and systems development life cycle (SDLC).
Experience with web services, enterprise data management, master data management, information security, applications development, and cloud-based architectures.
Experience with enterprise data management technologies, including database platforms, ETL tools, and SQL.
Solid technical background with understanding and/or hands-on experience with CRM, Marketing, HR and/or Financial systems.
Solid organizational skills including attention to detail and multi-tasking skills
Preferred
Experience with implementation, administration and use of SalesForce CRM/Marketing Cloud and NetSuite ERP strongly preferred
Familiarity with non-profit fundraising technologies and principles
Strong commitment to MSF mission and humanitarian principles
Additional Information
Starting salary
High 80s to low 90s (commensurate with experience).
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Open ended Contract
Desired Hiring Date
April 1st, 2019
Working Time %
100,00
How to Apply
To apply, click the "Apply Now" button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Architect ” position.
Submissions without cover letter will not be reviewed. No phone calls please.
Application Deadline: March 1, 2019, 11:59 pm EST.
At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Solutions Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the Solutions Architecture of major data and analytics solutions for enterprise business data across TWDC. This architect role will be an integral part of a specialized community of architects specializing in different aspects of data technology, and in that community the Data Solutions Architect will be required to have the widest domain breadth with the ability to design end-to-end, full-stack solutions that span data stages and technologies and are focused on meeting business requirements.
Responsibilities :
Architecting and delivering high-performing, highly-scalable and flexible, cost-effective, cloud-based enterprise business data solutions that meet business requirements and conform to the organization’s data architecture roadmaps and strategies
Translating business requirements into conceptual and detailed technology solutions
Collaborates closely with partners across the organization including other architects, engineering managers, product managers, and business partners
Responsible for data security and compliance
Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
Performing third-party vendor assessments
Developing and leading proof-of-concepts projects
Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring teammates
Basic Qualifications :
10 years plus experience architecting and delivering end-to-end enterprise data solutions
Experience with enterprise business data domains and use cases, especially Finance and HCM
Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics
Experience in data security and compliance
Experience in Solutions Architecture methodology and practices
Experience translating business requirements into conceptual and detailed technology solutions
Proven track record of execution--driving results and meeting commitments.
Experience with enterprise business data domains and use cases, especially Finance and HCM
Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics
Experience in data security and compliance
Experience in Solutions Architecture methodology and practices
Experience translating business requirements into conceptual and detailed technology solutions
Proven track record of execution--driving results and meeting commitments.
Expertise architecting and delivering end-to-end data solutions
Proficiency in all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics
Proficiency in data security and compliance
Proficiency in Solutions Architecture methodology and practices
Ability to translate business requirements into conceptual and detailed technology solutions
Current with new technologies and vendor solutions available in the marketplace
Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Ability to perform third-party vendor assessments
Ability to develop and lead proof-of-concepts
Focused on delivering practical, working solutions (no ivory tower solutions)
Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure
Strong leadership skills
Ability to “influence without authority”
Strong consensus-building ability and negotiating skills
Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences
Thinks strategically
Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models.
Results oriented, biased toward action
Keeps fluent in new technologies and successful sharing with peers and introducing new technologies
Chooses optimism and calls out cynicism and unproductive behavior
Demonstrates stamina, resilience and perseverance under trying circumstances
Required Education :
BS Computer Science or related technology field
Preferred Education :
MS Computer Science or related technology field
Jan 29, 2019
Full-time
At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Solutions Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the Solutions Architecture of major data and analytics solutions for enterprise business data across TWDC. This architect role will be an integral part of a specialized community of architects specializing in different aspects of data technology, and in that community the Data Solutions Architect will be required to have the widest domain breadth with the ability to design end-to-end, full-stack solutions that span data stages and technologies and are focused on meeting business requirements.
Responsibilities :
Architecting and delivering high-performing, highly-scalable and flexible, cost-effective, cloud-based enterprise business data solutions that meet business requirements and conform to the organization’s data architecture roadmaps and strategies
Translating business requirements into conceptual and detailed technology solutions
Collaborates closely with partners across the organization including other architects, engineering managers, product managers, and business partners
Responsible for data security and compliance
Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
Performing third-party vendor assessments
Developing and leading proof-of-concepts projects
Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring teammates
Basic Qualifications :
10 years plus experience architecting and delivering end-to-end enterprise data solutions
Experience with enterprise business data domains and use cases, especially Finance and HCM
Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics
Experience in data security and compliance
Experience in Solutions Architecture methodology and practices
Experience translating business requirements into conceptual and detailed technology solutions
Proven track record of execution--driving results and meeting commitments.
Experience with enterprise business data domains and use cases, especially Finance and HCM
Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics
Experience in data security and compliance
Experience in Solutions Architecture methodology and practices
Experience translating business requirements into conceptual and detailed technology solutions
Proven track record of execution--driving results and meeting commitments.
Expertise architecting and delivering end-to-end data solutions
Proficiency in all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics
Proficiency in data security and compliance
Proficiency in Solutions Architecture methodology and practices
Ability to translate business requirements into conceptual and detailed technology solutions
Current with new technologies and vendor solutions available in the marketplace
Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Ability to perform third-party vendor assessments
Ability to develop and lead proof-of-concepts
Focused on delivering practical, working solutions (no ivory tower solutions)
Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure
Strong leadership skills
Ability to “influence without authority”
Strong consensus-building ability and negotiating skills
Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences
Thinks strategically
Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models.
Results oriented, biased toward action
Keeps fluent in new technologies and successful sharing with peers and introducing new technologies
Chooses optimism and calls out cynicism and unproductive behavior
Demonstrates stamina, resilience and perseverance under trying circumstances
Required Education :
BS Computer Science or related technology field
Preferred Education :
MS Computer Science or related technology field
We are looking for a creative and endlessly inquisitive Data Scientist to join our team. You will be working hand-in-hand with our Director of Analytics to develop highly optimized predictive models from a large volume of regularly updated data and to design experiments to test the effectiveness of various campaign tactics. In addition, you will be a key resource for building out custom analytics to help analyze our partners’ work in the political and advocacy spheres. You will be working in a small but dedicated, detail-oriented team that is committed to our mission. The Murmuration work environment is friendly, driven, and non-corporate but professional.
The Data Scientist will:
Create predictive analytics using the latest machine learning algorithms on relatively “big” data (hundreds of features on > 100 million records)
Provide analytic insights for partners throughout the lifecycle of their campaign(s); build, review, and recommend custom models; provide real-time visualizations and analysis of campaign work; and produce post-campaign analytics to help our partners constantly learn from their efforts
Design and implement large-scale randomized controlled trials to gauge the general effectiveness of advocacy and campaign efforts
Produce post-mortem analytics on the advocacy and campaign work being performed in our platform to help our partners constantly learn from their efforts
Conduct various analyses to infer causality from large sets of behavioral data.
Work closely with the data engineering team to analyze and augment our data
Work closely with our business analysts to draft clear and informative data visualizations
Work with our staff and partners to develop practical ways to apply our leading analytics to the real world
Help optimize our analytic work to perform well on large datasets stored in Amazon Web Services (AWS)
Never stop asking questions and always be hunting for the next impactful insight
Candidate Profile
Murmuration attracts employees with distinctive and diverse backgrounds and accomplishments. Integrity, creativity, flexibility, and drive are key attributes of competitive candidates. The Data and Analytics teams are highly collaborative, friendly and hard-working, and we are looking for a Data Scientist who embodies those values.
The ideal candidate will have:
PhD in political science, sociology, mathematics, statistics or other related field or 4-5 years of experience performing data analysis work as described below
Excellent general data science skills (data cleaning, munging, data visualization)
Excellent Python or R skills
Experience building machine learning models on large datasets
Experience identifying appropriate statistical techniques and applying them to a variety of real-world datasets
Strong problem-solving skills as well as the ability to manage several tasks/projects concurrently and prioritize work effectively
Experience with databases and knowledge of SQL preferred
Experience with Amazon Web Services, in particular applying analytics in that setting (desired not required)
Interest in politics and/or educational policy Location
This position will be based in New York, NY, and requires occasional travel.
Compensation
The Data Scientist position is a full-time, salaried position with a comprehensive benefits package. Compensation for this position is commensurate with experience.
How to Apply
If you are interested in this opportunity, please submit your resume and cover letter here. An Equal-Opportunity Employer with a Commitment to Diversity, Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.
Jan 25, 2019
Full-time
We are looking for a creative and endlessly inquisitive Data Scientist to join our team. You will be working hand-in-hand with our Director of Analytics to develop highly optimized predictive models from a large volume of regularly updated data and to design experiments to test the effectiveness of various campaign tactics. In addition, you will be a key resource for building out custom analytics to help analyze our partners’ work in the political and advocacy spheres. You will be working in a small but dedicated, detail-oriented team that is committed to our mission. The Murmuration work environment is friendly, driven, and non-corporate but professional.
The Data Scientist will:
Create predictive analytics using the latest machine learning algorithms on relatively “big” data (hundreds of features on > 100 million records)
Provide analytic insights for partners throughout the lifecycle of their campaign(s); build, review, and recommend custom models; provide real-time visualizations and analysis of campaign work; and produce post-campaign analytics to help our partners constantly learn from their efforts
Design and implement large-scale randomized controlled trials to gauge the general effectiveness of advocacy and campaign efforts
Produce post-mortem analytics on the advocacy and campaign work being performed in our platform to help our partners constantly learn from their efforts
Conduct various analyses to infer causality from large sets of behavioral data.
Work closely with the data engineering team to analyze and augment our data
Work closely with our business analysts to draft clear and informative data visualizations
Work with our staff and partners to develop practical ways to apply our leading analytics to the real world
Help optimize our analytic work to perform well on large datasets stored in Amazon Web Services (AWS)
Never stop asking questions and always be hunting for the next impactful insight
Candidate Profile
Murmuration attracts employees with distinctive and diverse backgrounds and accomplishments. Integrity, creativity, flexibility, and drive are key attributes of competitive candidates. The Data and Analytics teams are highly collaborative, friendly and hard-working, and we are looking for a Data Scientist who embodies those values.
The ideal candidate will have:
PhD in political science, sociology, mathematics, statistics or other related field or 4-5 years of experience performing data analysis work as described below
Excellent general data science skills (data cleaning, munging, data visualization)
Excellent Python or R skills
Experience building machine learning models on large datasets
Experience identifying appropriate statistical techniques and applying them to a variety of real-world datasets
Strong problem-solving skills as well as the ability to manage several tasks/projects concurrently and prioritize work effectively
Experience with databases and knowledge of SQL preferred
Experience with Amazon Web Services, in particular applying analytics in that setting (desired not required)
Interest in politics and/or educational policy Location
This position will be based in New York, NY, and requires occasional travel.
Compensation
The Data Scientist position is a full-time, salaried position with a comprehensive benefits package. Compensation for this position is commensurate with experience.
How to Apply
If you are interested in this opportunity, please submit your resume and cover letter here. An Equal-Opportunity Employer with a Commitment to Diversity, Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.
Overview
The Economist II is responsible for assisting in the data collection, design, development, deployment and maintenance of data driven econometric models applied to the lease business and the used vehicle market. The Economist II plays a key role in the production of research and analysis to quantify the impact of economic, legal and auto industry factors on the portfolio performance and asset values. This research support strategic planning, as well as the specific needs of Pricing, Asset Remarketing, Accounting, Investor Relations, Structured Finance, Dealer Services and Credit Risk Management. This position will assist the Economics team in modeling efforts through an in depth knowledge of econometrics, diligent knowledge of economic and market data, and providing insightful interpretation through outside of the box analysis. To improve ad-hoc executive decisions, the Economist II applies advanced analytical skills and processes through data analysis, model development and strategy testing. This position is also responsible for summarizing, reporting and providing a polished presentation on findings to a variety of internal clients as well as interacting with other departments in the interest of achieving the overall company objectives.
Responsibilities
Job Duties
Develop econometric models and perform statistical analysis in order to solve business problems. Monitor and validate model performance and update models as needed.
Research new methods of analyzing large and highly complicated data sets. Combine traditional econometric tools with cutting edge machine learning techniques. Apply these techniques to analyze the impact of used vehicle price trends on the lease portfolio.
Subject matter expert for the Economics team on in-house data. Maintain expert level knowledge of economic series and databases
In conducting ad-hoc research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
Apply economic principles, knowledge of third party data sources, and creative econometric expertise in developing new models to new business areas.
Provide modeling and econometric to ensure that the delivered products meet the business needs of the company.
Partner with and provide recommendations to business leadership on the appropriate application of econometric analysis, market data and predictive analytics to business strategies and effectively communicate risk analysis and implications to senior leadership.
Qualifications
Knowledge
Auto finance related quantitative risk modeling. Advanced knowledge of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, non-parametric techniques, principal components, linear programming techniques
Statistical learning techniques including decision trees, bagging, boosting and support vector machines.
Ability to identify and understand business issues and map these issues into quantitative questions
Must have experience analyzing, merging and summarizing large datasets from different sources
Ability to design and implement model documentation and monitoring protocols
Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, and data analysis techniques
Skills
Proficient in MS Office: Word, PowerPoint and Excel (including pivot tables and macros)
Advanced skills in SAS, R or similar programming package
Proven knowledge of SQL or similar database programming language
Ability to interact collaboratively with internal customers and external vendors
Effective written and verbal presentation skills with an ability to communicate well with Senior Management
Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
Education
Master's Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required
Experience
2-3 years auto finance experience (leasing and residual value forecasting) preferred
3-5 years programming experience - SAS preferred
5-7 years experience presenting highly complex analysis required
Work Condition
Normal office environment
Feb 22, 2019
Full-time
Overview
The Economist II is responsible for assisting in the data collection, design, development, deployment and maintenance of data driven econometric models applied to the lease business and the used vehicle market. The Economist II plays a key role in the production of research and analysis to quantify the impact of economic, legal and auto industry factors on the portfolio performance and asset values. This research support strategic planning, as well as the specific needs of Pricing, Asset Remarketing, Accounting, Investor Relations, Structured Finance, Dealer Services and Credit Risk Management. This position will assist the Economics team in modeling efforts through an in depth knowledge of econometrics, diligent knowledge of economic and market data, and providing insightful interpretation through outside of the box analysis. To improve ad-hoc executive decisions, the Economist II applies advanced analytical skills and processes through data analysis, model development and strategy testing. This position is also responsible for summarizing, reporting and providing a polished presentation on findings to a variety of internal clients as well as interacting with other departments in the interest of achieving the overall company objectives.
Responsibilities
Job Duties
Develop econometric models and perform statistical analysis in order to solve business problems. Monitor and validate model performance and update models as needed.
Research new methods of analyzing large and highly complicated data sets. Combine traditional econometric tools with cutting edge machine learning techniques. Apply these techniques to analyze the impact of used vehicle price trends on the lease portfolio.
Subject matter expert for the Economics team on in-house data. Maintain expert level knowledge of economic series and databases
In conducting ad-hoc research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
Apply economic principles, knowledge of third party data sources, and creative econometric expertise in developing new models to new business areas.
Provide modeling and econometric to ensure that the delivered products meet the business needs of the company.
Partner with and provide recommendations to business leadership on the appropriate application of econometric analysis, market data and predictive analytics to business strategies and effectively communicate risk analysis and implications to senior leadership.
Qualifications
Knowledge
Auto finance related quantitative risk modeling. Advanced knowledge of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, non-parametric techniques, principal components, linear programming techniques
Statistical learning techniques including decision trees, bagging, boosting and support vector machines.
Ability to identify and understand business issues and map these issues into quantitative questions
Must have experience analyzing, merging and summarizing large datasets from different sources
Ability to design and implement model documentation and monitoring protocols
Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, and data analysis techniques
Skills
Proficient in MS Office: Word, PowerPoint and Excel (including pivot tables and macros)
Advanced skills in SAS, R or similar programming package
Proven knowledge of SQL or similar database programming language
Ability to interact collaboratively with internal customers and external vendors
Effective written and verbal presentation skills with an ability to communicate well with Senior Management
Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
Education
Master's Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required
Experience
2-3 years auto finance experience (leasing and residual value forecasting) preferred
3-5 years programming experience - SAS preferred
5-7 years experience presenting highly complex analysis required
Work Condition
Normal office environment
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Customer Acquisition team is tasked with driving new subscriber growth. The team is responsible for the planning, execution and optimization of user acquisition and performance marketing campaigns. The Manager of Performance Marketing Analytics will play a critical role in supporting the Paid media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources and help identify opportunities, inform media buying, optimize throughout the conversion funnel and ensure all media dollars are invested optimally. 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. The ideal candidate should have a strong understanding of statistical modelling and knowledge of at least 1 programming language.
Responsibilities:
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand their analytics needs and set the roadmap for analytics work
Develop and maintain key analyses around our marketing funnel, subscriber LTV and churn; report out results to broader organization
Design and implement data processes (e.g. ELT, ETL) that ensure data hygiene
Collaborate with marketing, data analysts and data scientists to design and build models for advertising optimization and budget allocation
Perform Audience level analysis to improve targeting and effectiveness of campaigns
Develop algorithms based on statistical analysis and predictive data modeling to identify trends
Mine internal user and response data to develop targeting models, decision rules and response/ROI forecasting
Monitor & analyze performance data across channels, tactics, partners & individual ad networks to ensure budget is optimized to deliver highest ROI
Manage user acquisition data tracking integrations both internally and with third parties
Partner with internal analytics & data engineering teams to develop a data strategy roadmap to fully optimize & operationalize acquisition data sources
Identify opportunities for data enhancement and appends utilizing internal and external resources
Basic Qualifications:
5+ years of experience within digital marketing/data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Experience with API’s and other data extraction/load methodologies
Deep experience with SQL and data transformations
Deep experience with programming and data science languages, such as Python, R, etc.
Deep experience with statistical modelling
Familiarity with multi-touch attribution and mobile app analytics
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Strong expertise in the digital media ecosystem including ad serving & reporting tools
(DoubleClick/DART essential), 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 in each
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, Splunk, Mode, etc…)
Ability to work in a fast-paced environment with excellent organizational and multitasking skills to manage multiple projects and tasks effectively
Strong initiative, sound attention to detail and ability to think strategically
Excellent communication, presentation, and visual reporting skills
Sense of humor and desire to have fun!
Preferred Qualifications:
Advanced (Master’s Degree or higher) in Statistics, Marketing Analytics, or other Quantitative fields
Experience desired in the OTT space, streaming media industry or other subscriptionbased service
Required Education:
Bachelor’s Degree in statistics or other quantitative field
Feb 20, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Customer Acquisition team is tasked with driving new subscriber growth. The team is responsible for the planning, execution and optimization of user acquisition and performance marketing campaigns. The Manager of Performance Marketing Analytics will play a critical role in supporting the Paid media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources and help identify opportunities, inform media buying, optimize throughout the conversion funnel and ensure all media dollars are invested optimally. 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. The ideal candidate should have a strong understanding of statistical modelling and knowledge of at least 1 programming language.
Responsibilities:
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand their analytics needs and set the roadmap for analytics work
Develop and maintain key analyses around our marketing funnel, subscriber LTV and churn; report out results to broader organization
Design and implement data processes (e.g. ELT, ETL) that ensure data hygiene
Collaborate with marketing, data analysts and data scientists to design and build models for advertising optimization and budget allocation
Perform Audience level analysis to improve targeting and effectiveness of campaigns
Develop algorithms based on statistical analysis and predictive data modeling to identify trends
Mine internal user and response data to develop targeting models, decision rules and response/ROI forecasting
Monitor & analyze performance data across channels, tactics, partners & individual ad networks to ensure budget is optimized to deliver highest ROI
Manage user acquisition data tracking integrations both internally and with third parties
Partner with internal analytics & data engineering teams to develop a data strategy roadmap to fully optimize & operationalize acquisition data sources
Identify opportunities for data enhancement and appends utilizing internal and external resources
Basic Qualifications:
5+ years of experience within digital marketing/data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Experience with API’s and other data extraction/load methodologies
Deep experience with SQL and data transformations
Deep experience with programming and data science languages, such as Python, R, etc.
Deep experience with statistical modelling
Familiarity with multi-touch attribution and mobile app analytics
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Strong expertise in the digital media ecosystem including ad serving & reporting tools
(DoubleClick/DART essential), 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 in each
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, Splunk, Mode, etc…)
Ability to work in a fast-paced environment with excellent organizational and multitasking skills to manage multiple projects and tasks effectively
Strong initiative, sound attention to detail and ability to think strategically
Excellent communication, presentation, and visual reporting skills
Sense of humor and desire to have fun!
Preferred Qualifications:
Advanced (Master’s Degree or higher) in Statistics, Marketing Analytics, or other Quantitative fields
Experience desired in the OTT space, streaming media industry or other subscriptionbased service
Required Education:
Bachelor’s Degree in statistics or other quantitative field
Disney Parks is growing its consumer-centric marketing team, who are responsible for audience planning, targeting and media buying. This innovative and growth-oriented business unit at Disney Parks is investing in data-driven talent to drive audience engagement and core business objectives. As a key player on Disney Parks’ Audience Team, the Customer Engagement Manager for Audience Strategy will use Disney Park’s Data Management Platform (DMP) to gather and create audience segments for audience targeting and insights. He or She will partner with the Media Planning team to understand core audiences for our media campaigns, estimate the size and available reach of those audiences within paid platforms, and then group those audiences into segments in the DMP. He or she will help drive data acquisition, audience modeling, and overall audience targeting strategy across multiple platforms. We are looking for puzzle solvers and pattern finders with an ability to use marketing technology on a daily basis. We require big data enthusiasts who love storytelling and can wear many hats when needed. This role spans diverse brand needs and across all the programmatic disciplines in which we are investing.
Responsibilities
Using state-of-the-art planning and targeting tools and interfaces. This is a hands-on keyboard role where big data is used to discover audiences and to target them across all relevant digital channels
Fulfilling audience creation requests and maintaining an organized and usable database of target audiences
Developing audience models and scores in partnership with media agencies and internal analytics teams
Coordinating regularly with Media Planning to receive requests and provide feedback on targeting performance
Providing input on methodology to create statistically significant and actionable test plans
Interacting with multiple partners and continually collaborating across the marketing organization to promote audience-centric thinking and knowledge sharing
Understanding performance objectives and develop successful strategies to meet them
Keeping daily tabs on industry trends and serve as a subject matter expert by informing wider team
Basic Qualifications
Data-driven with demonstrable skills with Data Management Platforms (DMP) such as BlueKai, Krux, Coreaudience, or Adobe Audience Manager
Knowledge in buying 1st and 3rd party audience data, or an industry-level understanding of data partnerships in the programmatic space
Hands-on experience with Audience Insights platforms such as Facebook Audience Insights, Twitter Audience Insights, Yahoo Audience Insights, etc., with an ability to provide valuable and actionable strategic recommendations and insights
Experience leveraging Demand Side Platforms (DSP) such as DBM, AOP, Turn, Facebook, ad serving, and/or digital bid management systems
5+ years in digital media planning, activation, or online media management with at least one year in programmatic advertising or precision marketing
Ability to perform data collection and data mining, as well as build state-of-the-art decision science algorithms, tools and systems
High familiarity with consumer media consumption habits and a drive to push audience-centric digital campaigns
Required Education
Bachelor’s Degree in Business, Communications, Psychology, Statistics or other quantitative field
Feb 07, 2019
Full-time
Disney Parks is growing its consumer-centric marketing team, who are responsible for audience planning, targeting and media buying. This innovative and growth-oriented business unit at Disney Parks is investing in data-driven talent to drive audience engagement and core business objectives. As a key player on Disney Parks’ Audience Team, the Customer Engagement Manager for Audience Strategy will use Disney Park’s Data Management Platform (DMP) to gather and create audience segments for audience targeting and insights. He or She will partner with the Media Planning team to understand core audiences for our media campaigns, estimate the size and available reach of those audiences within paid platforms, and then group those audiences into segments in the DMP. He or she will help drive data acquisition, audience modeling, and overall audience targeting strategy across multiple platforms. We are looking for puzzle solvers and pattern finders with an ability to use marketing technology on a daily basis. We require big data enthusiasts who love storytelling and can wear many hats when needed. This role spans diverse brand needs and across all the programmatic disciplines in which we are investing.
Responsibilities
Using state-of-the-art planning and targeting tools and interfaces. This is a hands-on keyboard role where big data is used to discover audiences and to target them across all relevant digital channels
Fulfilling audience creation requests and maintaining an organized and usable database of target audiences
Developing audience models and scores in partnership with media agencies and internal analytics teams
Coordinating regularly with Media Planning to receive requests and provide feedback on targeting performance
Providing input on methodology to create statistically significant and actionable test plans
Interacting with multiple partners and continually collaborating across the marketing organization to promote audience-centric thinking and knowledge sharing
Understanding performance objectives and develop successful strategies to meet them
Keeping daily tabs on industry trends and serve as a subject matter expert by informing wider team
Basic Qualifications
Data-driven with demonstrable skills with Data Management Platforms (DMP) such as BlueKai, Krux, Coreaudience, or Adobe Audience Manager
Knowledge in buying 1st and 3rd party audience data, or an industry-level understanding of data partnerships in the programmatic space
Hands-on experience with Audience Insights platforms such as Facebook Audience Insights, Twitter Audience Insights, Yahoo Audience Insights, etc., with an ability to provide valuable and actionable strategic recommendations and insights
Experience leveraging Demand Side Platforms (DSP) such as DBM, AOP, Turn, Facebook, ad serving, and/or digital bid management systems
5+ years in digital media planning, activation, or online media management with at least one year in programmatic advertising or precision marketing
Ability to perform data collection and data mining, as well as build state-of-the-art decision science algorithms, tools and systems
High familiarity with consumer media consumption habits and a drive to push audience-centric digital campaigns
Required Education
Bachelor’s Degree in Business, Communications, Psychology, Statistics or other quantitative field
Customer Engagement Data Analysis Internship, Fall 2019 - Orlando, FL
We Are…
As a Member of Customer Engagement Platform team (CEP) you will play an important role in helping to build and maintain a trusted relationship with each Guest. Using the Guiding Principle of “Know the Guest well enough at any point in time, or place, to know what to do next”, CEP teams deliver world-class direct to consumer CRM programs for Disney Destinations.
Responsibilities:
With The Walt Disney Company this individual will be on the forefront of technology innovation as a member of the CEP Development team focusing on capability design, implementation, and sustainment activities related to marketing data and platform projects. Responsibilities include data and capability analysis, project requirements and platform functionality documentation, testing and quality control tasks, and issue/defect analysis and resolution. The work takes place in a multi- project, matrix environment where networking and efficiency are critical for success.
Basic Qualifications:
What You Bring to the Role:
Strong strategic problem solving, analytical skills with focus on continuous improvement
A curious nature and passion for understanding the ‘what’ & ‘why’
Experience with SQL and SharePoint
Familiarity work experience with writing technical documentation (data models, process flow diagrams, technical specifications/requirements)
Proven data analysis skills with a systems mindset
Ability to effectively translate data points into findings
Ability to manage multiple competing priorities
Strong verbal and written communication skills
Ability to share and develop creative ideas
Preferred Qualifications:
Familiarity with Disney Parks and Resorts Products and services
Exposure to CRM brand marketing concepts
Experience with the travel industry and/or consumer data
Proven experience working with large scale data warehouses/data marts
Required Education:
Junior or higher working towards (or recently graduated with) a degree in MIS, Business, Computer Science, Computer Information Systems, Informatics, Computer Engineering or other related quantitative field.
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from June 2019 through January 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Feb 02, 2019
Internship
Customer Engagement Data Analysis Internship, Fall 2019 - Orlando, FL
We Are…
As a Member of Customer Engagement Platform team (CEP) you will play an important role in helping to build and maintain a trusted relationship with each Guest. Using the Guiding Principle of “Know the Guest well enough at any point in time, or place, to know what to do next”, CEP teams deliver world-class direct to consumer CRM programs for Disney Destinations.
Responsibilities:
With The Walt Disney Company this individual will be on the forefront of technology innovation as a member of the CEP Development team focusing on capability design, implementation, and sustainment activities related to marketing data and platform projects. Responsibilities include data and capability analysis, project requirements and platform functionality documentation, testing and quality control tasks, and issue/defect analysis and resolution. The work takes place in a multi- project, matrix environment where networking and efficiency are critical for success.
Basic Qualifications:
What You Bring to the Role:
Strong strategic problem solving, analytical skills with focus on continuous improvement
A curious nature and passion for understanding the ‘what’ & ‘why’
Experience with SQL and SharePoint
Familiarity work experience with writing technical documentation (data models, process flow diagrams, technical specifications/requirements)
Proven data analysis skills with a systems mindset
Ability to effectively translate data points into findings
Ability to manage multiple competing priorities
Strong verbal and written communication skills
Ability to share and develop creative ideas
Preferred Qualifications:
Familiarity with Disney Parks and Resorts Products and services
Exposure to CRM brand marketing concepts
Experience with the travel industry and/or consumer data
Proven experience working with large scale data warehouses/data marts
Required Education:
Junior or higher working towards (or recently graduated with) a degree in MIS, Business, Computer Science, Computer Information Systems, Informatics, Computer Engineering or other related quantitative field.
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from June 2019 through January 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Consumer Products (DPECP). CIMA influences decision making with integrated, objective, and actionable insights. We are seeking a Senior Manager, Business Insights and Analytics to support Consumer Products (CP), the division of DPECP 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. The position reports to the Vice President M&S Analytics & Optimization and has approximately five direct reports. The Senior Manager, Business Insights and Analytics will be a driver and partner for analytics across the Disney Consumer Products business. The person will synthesize complex data from multiple sources to deliver business insights and strategic guidance. The candidate for this role should be an experienced data and analytics leader with solid knowledge and experience with customized quantitative, qualitative and online analytics and research projects to enable business strategies and decision making. Candidate must be proficient in analyzing and interpreting information to address specific business issues related to, but not limited to, trend studies, guest interactions and predictions, pre & post promotions evaluation, new product releases, etc. These analyses will often include cost benefit and/or return on marketing spend. Candidate would also be able to communicate key findings to internal stakeholders and across line-of-businesses (LOBs); to ensure appropriate data is incorporated in servicing their business needs.
Responsibilities:
Partner with the Retail team, Global Products team, Publishing team and other LOB teams to understand business drivers and synthesize information across businesses
Support publishing business, connected experiences, kids apps and VR/AR products
Lead measurement and data aggregation for multiple data sources including YouTube API’s; Create data sets and collect video series, spend, impressions data for KPI tracking
Support media reporting via dashboards; Measure marketing performance and ROI from campaign analytics; Make recommendations on targeting strategy (segmentation, messaging, testing); Support subscription business including acquisition of new consumers, engagement with existing subscriber base and retention of subscription lifecycle
Provide advanced analytical support and multi-touch attribution to model consumer interactions with digital channels and conversion tracking, propensity and look-alike modeling
Influence and guide the build of predictive models and algorithms to effectively measure and optimize business performance
Develop frameworks, models, tools, and processes to institutionalize findings
Derive actionable recommendations in an easy to digest manner and communicate key insights across all levels of DPECP’s organization
Basic Qualifications:
7+ years of experience in an analysis, market research or consulting role
4+ years of experience managing a team
Experience in marketing analytics, especially measuring campaign effectiveness, defining and tracking KPIs. Experience with media reporting, subscription model and analytical support for user growth and retention
Ability to work with multiple stakeholders to identify areas that data and analytics can add value to the business and translate business problems into solution-driven actions
Ability to translate technical findings into actionable recommendations through easy to digest reports and presentations
Ability to effectively partner across all levels and manage multiple projects with high standards
Ability to provide leadership in a fast-paced environment with the ability to empower others
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Experience with programming languages (SQL, R, Python etc.)
Experience with advanced statistical data modeling and machine learning
Experience using data visualization reporting tools (e.g. Tableau)
Experience in consumer products, retail, publishing and digital products
Required Education:
BA or BS from in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)
Preferred Education:
Master degree in business, mathematics, statistics, or economics
Feb 01, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Consumer Products (DPECP). CIMA influences decision making with integrated, objective, and actionable insights. We are seeking a Senior Manager, Business Insights and Analytics to support Consumer Products (CP), the division of DPECP 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. The position reports to the Vice President M&S Analytics & Optimization and has approximately five direct reports. The Senior Manager, Business Insights and Analytics will be a driver and partner for analytics across the Disney Consumer Products business. The person will synthesize complex data from multiple sources to deliver business insights and strategic guidance. The candidate for this role should be an experienced data and analytics leader with solid knowledge and experience with customized quantitative, qualitative and online analytics and research projects to enable business strategies and decision making. Candidate must be proficient in analyzing and interpreting information to address specific business issues related to, but not limited to, trend studies, guest interactions and predictions, pre & post promotions evaluation, new product releases, etc. These analyses will often include cost benefit and/or return on marketing spend. Candidate would also be able to communicate key findings to internal stakeholders and across line-of-businesses (LOBs); to ensure appropriate data is incorporated in servicing their business needs.
Responsibilities:
Partner with the Retail team, Global Products team, Publishing team and other LOB teams to understand business drivers and synthesize information across businesses
Support publishing business, connected experiences, kids apps and VR/AR products
Lead measurement and data aggregation for multiple data sources including YouTube API’s; Create data sets and collect video series, spend, impressions data for KPI tracking
Support media reporting via dashboards; Measure marketing performance and ROI from campaign analytics; Make recommendations on targeting strategy (segmentation, messaging, testing); Support subscription business including acquisition of new consumers, engagement with existing subscriber base and retention of subscription lifecycle
Provide advanced analytical support and multi-touch attribution to model consumer interactions with digital channels and conversion tracking, propensity and look-alike modeling
Influence and guide the build of predictive models and algorithms to effectively measure and optimize business performance
Develop frameworks, models, tools, and processes to institutionalize findings
Derive actionable recommendations in an easy to digest manner and communicate key insights across all levels of DPECP’s organization
Basic Qualifications:
7+ years of experience in an analysis, market research or consulting role
4+ years of experience managing a team
Experience in marketing analytics, especially measuring campaign effectiveness, defining and tracking KPIs. Experience with media reporting, subscription model and analytical support for user growth and retention
Ability to work with multiple stakeholders to identify areas that data and analytics can add value to the business and translate business problems into solution-driven actions
Ability to translate technical findings into actionable recommendations through easy to digest reports and presentations
Ability to effectively partner across all levels and manage multiple projects with high standards
Ability to provide leadership in a fast-paced environment with the ability to empower others
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Experience with programming languages (SQL, R, Python etc.)
Experience with advanced statistical data modeling and machine learning
Experience using data visualization reporting tools (e.g. Tableau)
Experience in consumer products, retail, publishing and digital products
Required Education:
BA or BS from in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)
Preferred Education:
Master degree in business, mathematics, statistics, or economics
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Feb 01, 2019
Full-time
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Feb 01, 2019
Full-time
This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
Feb 01, 2019
Full-time
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment.
Responsibilities:
Make an Impact by supporting marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Collecting, validating and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications:
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation or modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from June 2019 through January 2020. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
Jan 24, 2019
Internship
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment.
Responsibilities:
Make an Impact by supporting marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Collecting, validating and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications:
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation or modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from June 2019 through January 2020. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
