Are you passionate about data AND helping patients improve their health? Consider the position of Data Scientist, where your experience in advanced analytics and modeling will directly inform how CVS Health helps patients on their path to better health. As a key member of the Enterprise Analytics Group, you will work with a variety of business partners from across the enterprise to both support the development of innovative programs to improve patient outcomes as well as reduce cost and improve efficiency across CVS Health The role of Data Scientist will primarily be responsible for developing machine learning and other advanced models that drive business outcomes across CVS.
The newly established Machine Learning and Data Science team is an interdisciplinary team of Data Scientists that partners with business groups across CVS to ideate, develop, and deploy analytic models and solutions that leverage advanced machine learning and analytics methodologies. As a member of this group you will work with a highly collaborative team to apply state of the art analytic methods to solve real world problems.
The successful Data Scientist will translate business needs into analytic questions; design and conduct rigorous analyses of clinical, financial, customer, and operational data; and translate these analytic findings into predictive models and evaluation results for our business partners.
Key Job Functions
Include, but are not limited to, the following:
Consulting with key internal and external stakeholders to determine how best to leverage machine learning and advanced analytic methods to support business objectives across CVS Health.
Able to select several potential appropriate modeling approaches for a given analytic problem (machine learning methods such as ensemble models, decision trees; operations research; statistical modeling such as multivariate techniques).
Efficiently implement the models in a variety of modeling tools, achieving highly accurate models.
Understands the underlying statistical concepts and computational approaches that enable efficient execution of models and may be able to design and implement modifications and enhancements to the computations.
Developing sound analytic plans based on available data sources, business partner needs, and required timelines.
Able to apply innovative approaches to understand and predict what will happen across the business.
Managing deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs.
Presenting analytic findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results to non-analytic audiences.
Required Qualifications
To be considered for this exciting opportunity on the Advanced Analytics team, candidates will need to have the following experience:
A minimum of 7 years of professional post-graduate experience in constructing, validating, and executing machine learning solutions.
Advanced skills and training in machine learning in areas such as: Random Forest, Decision Trees, Neural Networks, Ensemble Models, Operations Research, Generalized Linear Models, Stochastic Modeling and Multivariate Analysis.
Experience in translating business problems across disciplines into advanced analytic projects with measurable business value.
Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications
Analytics experience within the retail and/or financial services, with experience deploying capabilities across a wide range of business disciplines.
Demonstrated effective project management and time management skills.
A strong curiosity to explore and uncover hidden relationships in data, and a proactive desire to translate findings into actionable business insights.
Fluent and recent hands-on experiences in R, Python, SAS, etc.
Experience with computer development languages (Java, C++).
Preferred Qualifications
Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment.
Recent hands-on experience with finance modeling, pricing elasticity, optimization, and value at risk (VaR) is strongly preferred.
Education
PhD in Statistics, Computer Science, Mathematics, Economics, or directly related field.
Will also consider candidates with a Master’s degree in these fields, plus 7+ years of relevant post graduate professional paid work experience with an outstanding track record of developing and deploying advanced quantitative analytics to support business objectives
Business Overview
CVS Health, through our unmatched breadth of service offerings, is transforming the delivery of health care services in the U.S. We are an innovative, fast-growing company guided by values that focus on teamwork, integrity and respect for our colleagues and customers. What are we looking for in our colleagues? We seek fresh ideas, new perspectives, a diversity of experiences, and a dedication to service that will help us better meet the needs of the many people and businesses that rely on us each day. As the nation’s largest pharmacy health care provider, we offer a wide range of exciting and fulfilling career opportunities across our three business units – MinuteClinic, pharmacy benefit management (PBM) and retail pharmacy. Our energetic and service-oriented colleagues work hard every day to make a positive difference in the lives of our customers.
CVS Health is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, ethnicity, ancestry, color, religion, sex/gender (including pregnancy), national origin, sexual orientation, gender identity or expression, physical or mental disability, medical condition, age, veteran status, military status, marital status, genetic information, citizenship status, unemployment status, political affiliation, or on any other basis or characteristic prohibited by applicable federal, state or local law. CVS Health will consider qualified job candidates with criminal histories in a manner consistent with federal, state and local laws. CVS Health will not discharge or in any other manner discriminate against any Colleague or applicant for employment because such Colleague or applicant has inquired about, discussed, or disclosed the compensation of the Colleague or applicant or another Colleague or applicant. Furthermore, we comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW and EEO IS THE LAW SUPPLEMENT
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require assistance to apply for this job, please contact us.
CVS Health does not require nor expect that applicants disclose their compensation history during the application, interview, and hiring process.
Jun 14, 2018
Full-time
Are you passionate about data AND helping patients improve their health? Consider the position of Data Scientist, where your experience in advanced analytics and modeling will directly inform how CVS Health helps patients on their path to better health. As a key member of the Enterprise Analytics Group, you will work with a variety of business partners from across the enterprise to both support the development of innovative programs to improve patient outcomes as well as reduce cost and improve efficiency across CVS Health The role of Data Scientist will primarily be responsible for developing machine learning and other advanced models that drive business outcomes across CVS.
The newly established Machine Learning and Data Science team is an interdisciplinary team of Data Scientists that partners with business groups across CVS to ideate, develop, and deploy analytic models and solutions that leverage advanced machine learning and analytics methodologies. As a member of this group you will work with a highly collaborative team to apply state of the art analytic methods to solve real world problems.
The successful Data Scientist will translate business needs into analytic questions; design and conduct rigorous analyses of clinical, financial, customer, and operational data; and translate these analytic findings into predictive models and evaluation results for our business partners.
Key Job Functions
Include, but are not limited to, the following:
Consulting with key internal and external stakeholders to determine how best to leverage machine learning and advanced analytic methods to support business objectives across CVS Health.
Able to select several potential appropriate modeling approaches for a given analytic problem (machine learning methods such as ensemble models, decision trees; operations research; statistical modeling such as multivariate techniques).
Efficiently implement the models in a variety of modeling tools, achieving highly accurate models.
Understands the underlying statistical concepts and computational approaches that enable efficient execution of models and may be able to design and implement modifications and enhancements to the computations.
Developing sound analytic plans based on available data sources, business partner needs, and required timelines.
Able to apply innovative approaches to understand and predict what will happen across the business.
Managing deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs.
Presenting analytic findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results to non-analytic audiences.
Required Qualifications
To be considered for this exciting opportunity on the Advanced Analytics team, candidates will need to have the following experience:
A minimum of 7 years of professional post-graduate experience in constructing, validating, and executing machine learning solutions.
Advanced skills and training in machine learning in areas such as: Random Forest, Decision Trees, Neural Networks, Ensemble Models, Operations Research, Generalized Linear Models, Stochastic Modeling and Multivariate Analysis.
Experience in translating business problems across disciplines into advanced analytic projects with measurable business value.
Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications
Analytics experience within the retail and/or financial services, with experience deploying capabilities across a wide range of business disciplines.
Demonstrated effective project management and time management skills.
A strong curiosity to explore and uncover hidden relationships in data, and a proactive desire to translate findings into actionable business insights.
Fluent and recent hands-on experiences in R, Python, SAS, etc.
Experience with computer development languages (Java, C++).
Preferred Qualifications
Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment.
Recent hands-on experience with finance modeling, pricing elasticity, optimization, and value at risk (VaR) is strongly preferred.
Education
PhD in Statistics, Computer Science, Mathematics, Economics, or directly related field.
Will also consider candidates with a Master’s degree in these fields, plus 7+ years of relevant post graduate professional paid work experience with an outstanding track record of developing and deploying advanced quantitative analytics to support business objectives
Business Overview
CVS Health, through our unmatched breadth of service offerings, is transforming the delivery of health care services in the U.S. We are an innovative, fast-growing company guided by values that focus on teamwork, integrity and respect for our colleagues and customers. What are we looking for in our colleagues? We seek fresh ideas, new perspectives, a diversity of experiences, and a dedication to service that will help us better meet the needs of the many people and businesses that rely on us each day. As the nation’s largest pharmacy health care provider, we offer a wide range of exciting and fulfilling career opportunities across our three business units – MinuteClinic, pharmacy benefit management (PBM) and retail pharmacy. Our energetic and service-oriented colleagues work hard every day to make a positive difference in the lives of our customers.
CVS Health is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, ethnicity, ancestry, color, religion, sex/gender (including pregnancy), national origin, sexual orientation, gender identity or expression, physical or mental disability, medical condition, age, veteran status, military status, marital status, genetic information, citizenship status, unemployment status, political affiliation, or on any other basis or characteristic prohibited by applicable federal, state or local law. CVS Health will consider qualified job candidates with criminal histories in a manner consistent with federal, state and local laws. CVS Health will not discharge or in any other manner discriminate against any Colleague or applicant for employment because such Colleague or applicant has inquired about, discussed, or disclosed the compensation of the Colleague or applicant or another Colleague or applicant. Furthermore, we comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW and EEO IS THE LAW SUPPLEMENT
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require assistance to apply for this job, please contact us.
CVS Health does not require nor expect that applicants disclose their compensation history during the application, interview, and hiring process.
This position will have a key role on the Retail Analytic and Data Strategy team! In this position, you will lead requirements gathering, data analysis, end to end quality and user acceptance testing planning and coordination. You will represent the data strategy team as business owner of final implementation of data integration projects with focus on Retail Pharmacy Data.
Responsibilities include
Defining project scope based on the roadmap and work with IT to implement the data solutions;
Providing end user support for our core subject domains in the Enterprise Data Warehouse and/or data lake;
Working directly with internal and external customers in answering data and query inquiries as well as educating customers on the proper use of the data;
Using your excellent problem solving skills to troubleshoot data issues and potential impacts. Solid organizational skills with focus on accuracy and attention to detail.
Required Qualifications
Minimum 5 years of analytical expertise within the healthcare industry along with experience in Data Analytics, Application Integration System Architecture of Large Data Warehouses, Information management strategy/data management strategy; Dimensional Modeling experience, Physical Database Design experience and creation of Semantic Layer.
Experience managing large projects and interaction with Business Users, Business and IT Leaders and IT technical staff. Experience working directly with business partners or clients in developing data use cases and business process mapping.
Data analysis and analytical skill, reporting tools experience (eg, Microstrategy or Tableau), strong SQL skills, working knowledge of at least one data lake access language including but not limited to Java, Python, Scala, etc. Analytical assessment experience to propose data roadmap for data lake and/or data warehouse depending on the business application as well as process improvements within existing systems. Experience in building analytical tools that support data scientists and/or the every-day business user and understanding the different data needs by end-user type.
Preferred Qualifications
Possesses a basic understanding of development methodologies like waterfall and agile. A solid foundational knowledge of software development lifecycle a plus
Possesses the ability to program in a variety of languages (Python, Java, Scala, SQL, SAS, R, VBA, etc.)
Ability to effectively write, interpret, and debug SQL with a thorough understanding of the processing and storage quirks of the DBMS on which the code is being executed – ie, at least one of the following data management systems: Teradata, Oracle, MariaDB, SQLServer, etc.
Ability to execute UAT strategy and requirements to meet business objectives
Maintains appropriate documentation/comments in code and documents such as a data dictionary and/or ERD. Provides inputs into acceptance testing and is able to define and execute regression testing
Has a thorough understanding of security needs and how to apply it at an application or data level. Capable of modifying existing software to correct errors, adapt to new hardware, or to improve its performance.
Retail, retail pharmacy and/or PBM experience is a plus
Education
BS in MIS/ Related Field, or Mathematics/Statistics or related field. MS or MBA preferred
Business Overview
CVS Health, through our unmatched breadth of service offerings, is transforming the delivery of health care services in the U.S. We are an innovative, fast-growing company guided by values that focus on teamwork, integrity and respect for our colleagues and customers. What are we looking for in our colleagues? We seek fresh ideas, new perspectives, a diversity of experiences, and a dedication to service that will help us better meet the needs of the many people and businesses that rely on us each day. As the nation’s largest pharmacy health care provider, we offer a wide range of exciting and fulfilling career opportunities across our three business units – MinuteClinic, pharmacy benefit management (PBM) and retail pharmacy. Our energetic and service-oriented colleagues work hard every day to make a positive difference in the lives of our customers.
CVS Health is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, ethnicity, ancestry, color, religion, sex/gender (including pregnancy), national origin, sexual orientation, gender identity or expression, physical or mental disability, medical condition, age, veteran status, military status, marital status, genetic information, citizenship status, unemployment status, political affiliation, or on any other basis or characteristic prohibited by applicable federal, state or local law. CVS Health will consider qualified job candidates with criminal histories in a manner consistent with federal, state and local laws. CVS Health will not discharge or in any other manner discriminate against any Colleague or applicant for employment because such Colleague or applicant has inquired about, discussed, or disclosed the compensation of the Colleague or applicant or another Colleague or applicant. Furthermore, we comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW and EEO IS THE LAW SUPPLEMENT
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require assistance to apply for this job, please contact us.
CVS Health does not require nor expect that applicants disclose their compensation history during the application, interview, and hiring process.
Jun 14, 2018
Full-time
This position will have a key role on the Retail Analytic and Data Strategy team! In this position, you will lead requirements gathering, data analysis, end to end quality and user acceptance testing planning and coordination. You will represent the data strategy team as business owner of final implementation of data integration projects with focus on Retail Pharmacy Data.
Responsibilities include
Defining project scope based on the roadmap and work with IT to implement the data solutions;
Providing end user support for our core subject domains in the Enterprise Data Warehouse and/or data lake;
Working directly with internal and external customers in answering data and query inquiries as well as educating customers on the proper use of the data;
Using your excellent problem solving skills to troubleshoot data issues and potential impacts. Solid organizational skills with focus on accuracy and attention to detail.
Required Qualifications
Minimum 5 years of analytical expertise within the healthcare industry along with experience in Data Analytics, Application Integration System Architecture of Large Data Warehouses, Information management strategy/data management strategy; Dimensional Modeling experience, Physical Database Design experience and creation of Semantic Layer.
Experience managing large projects and interaction with Business Users, Business and IT Leaders and IT technical staff. Experience working directly with business partners or clients in developing data use cases and business process mapping.
Data analysis and analytical skill, reporting tools experience (eg, Microstrategy or Tableau), strong SQL skills, working knowledge of at least one data lake access language including but not limited to Java, Python, Scala, etc. Analytical assessment experience to propose data roadmap for data lake and/or data warehouse depending on the business application as well as process improvements within existing systems. Experience in building analytical tools that support data scientists and/or the every-day business user and understanding the different data needs by end-user type.
Preferred Qualifications
Possesses a basic understanding of development methodologies like waterfall and agile. A solid foundational knowledge of software development lifecycle a plus
Possesses the ability to program in a variety of languages (Python, Java, Scala, SQL, SAS, R, VBA, etc.)
Ability to effectively write, interpret, and debug SQL with a thorough understanding of the processing and storage quirks of the DBMS on which the code is being executed – ie, at least one of the following data management systems: Teradata, Oracle, MariaDB, SQLServer, etc.
Ability to execute UAT strategy and requirements to meet business objectives
Maintains appropriate documentation/comments in code and documents such as a data dictionary and/or ERD. Provides inputs into acceptance testing and is able to define and execute regression testing
Has a thorough understanding of security needs and how to apply it at an application or data level. Capable of modifying existing software to correct errors, adapt to new hardware, or to improve its performance.
Retail, retail pharmacy and/or PBM experience is a plus
Education
BS in MIS/ Related Field, or Mathematics/Statistics or related field. MS or MBA preferred
Business Overview
CVS Health, through our unmatched breadth of service offerings, is transforming the delivery of health care services in the U.S. We are an innovative, fast-growing company guided by values that focus on teamwork, integrity and respect for our colleagues and customers. What are we looking for in our colleagues? We seek fresh ideas, new perspectives, a diversity of experiences, and a dedication to service that will help us better meet the needs of the many people and businesses that rely on us each day. As the nation’s largest pharmacy health care provider, we offer a wide range of exciting and fulfilling career opportunities across our three business units – MinuteClinic, pharmacy benefit management (PBM) and retail pharmacy. Our energetic and service-oriented colleagues work hard every day to make a positive difference in the lives of our customers.
CVS Health is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, ethnicity, ancestry, color, religion, sex/gender (including pregnancy), national origin, sexual orientation, gender identity or expression, physical or mental disability, medical condition, age, veteran status, military status, marital status, genetic information, citizenship status, unemployment status, political affiliation, or on any other basis or characteristic prohibited by applicable federal, state or local law. CVS Health will consider qualified job candidates with criminal histories in a manner consistent with federal, state and local laws. CVS Health will not discharge or in any other manner discriminate against any Colleague or applicant for employment because such Colleague or applicant has inquired about, discussed, or disclosed the compensation of the Colleague or applicant or another Colleague or applicant. Furthermore, we comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW and EEO IS THE LAW SUPPLEMENT
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require assistance to apply for this job, please contact us.
CVS Health does not require nor expect that applicants disclose their compensation history during the application, interview, and hiring process.
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 enterprise Consumer Data Platform (eCDP) team is part of the Enterprise Tech that is focused on providing large-scale data platform solutions in a shared services model to support enterprise data needs of The Walt Disney Corporation such as Data Analytics & BI, Data Driven Advertising & Marketing, Personalization, etc.
As a Senior Data Engineer you will be designing, building and supporting data pipelines consuming data from multiple different source systems and transforming it into valuable and insightful information. You will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with operations, data science and the business segments to build batch and real-time data solutions.
The role will be part of a team supporting our Corporate and Segment business lines, including Networks (ABC and ESPN) Studios (Disney, Pixar, Marvel, LucasFilm), Parks & Resorts and Disney Consumer Products & Interactive.
Responsibilities
Design, build, test and support data pipelines across multiple systems and environments
Create unified enterprise data models for analytics and reporting
Participate in evaluation of new technologies and cloud services
As part of Agile development team contribute to architecture, tools and development process improvements
Work in close collaboration with product management, peer system and software engineering teams to clarify requirements and translate them into robust, scalable, operable solutions that work well within the overall data architecture
Basic Qualifications
Strong SQL skills, working experience with at least one relational, analytical or columnar database (5+ years)
Proficiency in Hadoop ecosystem, experience writing MapReduce, Hive or Spark jobs (3+ years)
Experience developing data intensive applications in Java or Python (5+ years)
Experience with data integration tools such as Informatica, Talend, etc.
Excellent problem solving skills
Experience with cloud platforms (preferably AWS)
Working knowledge of Git
Confident Linux user
Understanding of Scrum / Agile Methodologies
Preferred Qualifications
Experience with Apache Kafka, AWS Kinesis, or Google Pub/Sub
Experience with BI tools like Tableau etc.
Experience with Scaled Agile Framework
Required Education
Bachelor’s degree – Computer Science or equivalent
About The Walt Disney Company (Corporate)
At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.
About The Walt Disney Company
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Worldwide Services, Inc., which is part of a business segment we call The Walt Disney Company (Corporate).
Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
May 31, 2018
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 enterprise Consumer Data Platform (eCDP) team is part of the Enterprise Tech that is focused on providing large-scale data platform solutions in a shared services model to support enterprise data needs of The Walt Disney Corporation such as Data Analytics & BI, Data Driven Advertising & Marketing, Personalization, etc.
As a Senior Data Engineer you will be designing, building and supporting data pipelines consuming data from multiple different source systems and transforming it into valuable and insightful information. You will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with operations, data science and the business segments to build batch and real-time data solutions.
The role will be part of a team supporting our Corporate and Segment business lines, including Networks (ABC and ESPN) Studios (Disney, Pixar, Marvel, LucasFilm), Parks & Resorts and Disney Consumer Products & Interactive.
Responsibilities
Design, build, test and support data pipelines across multiple systems and environments
Create unified enterprise data models for analytics and reporting
Participate in evaluation of new technologies and cloud services
As part of Agile development team contribute to architecture, tools and development process improvements
Work in close collaboration with product management, peer system and software engineering teams to clarify requirements and translate them into robust, scalable, operable solutions that work well within the overall data architecture
Basic Qualifications
Strong SQL skills, working experience with at least one relational, analytical or columnar database (5+ years)
Proficiency in Hadoop ecosystem, experience writing MapReduce, Hive or Spark jobs (3+ years)
Experience developing data intensive applications in Java or Python (5+ years)
Experience with data integration tools such as Informatica, Talend, etc.
Excellent problem solving skills
Experience with cloud platforms (preferably AWS)
Working knowledge of Git
Confident Linux user
Understanding of Scrum / Agile Methodologies
Preferred Qualifications
Experience with Apache Kafka, AWS Kinesis, or Google Pub/Sub
Experience with BI tools like Tableau etc.
Experience with Scaled Agile Framework
Required Education
Bachelor’s degree – Computer Science or equivalent
About The Walt Disney Company (Corporate)
At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.
About The Walt Disney Company
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Worldwide Services, Inc., which is part of a business segment we call The Walt Disney Company (Corporate).
Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
Create innovative scientific models and data-driven decision support tools as a member of our Decision Science team. Not sure where you fit in? We hail from many disciplines, including: Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Machine Learning, and Econometrics. If your expertise lies in data mining, analytical consultation and science modeling, this could be the perfect role for you.
Your Role
Achieve business goals and objectives – Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company
Pursue innovation - Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
Put your skills to the test - Perform data collection and data mining as well as build state-of-the-art decision science algorithms, tools and systems
Drive value - Model and analyze revenue management and pricing related issues using various mathematical, statistical and simulation techniques
Tell the story - Present science results to business partners and clients
Support a global and enterprise-wide mission - Identify and apply best practices in the field of advanced analytics (statistics, operations research, etc.) to multiple Walt Disney Company business units including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products
What We’re Looking For
Possess a Master’s degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field
Must exhibit competence in at least one of the following four analytics/science fields (inclusive of applicable topics as noted), and in one computing topic as follows:
Statistics (two or more topics):
Bayesian statistics
Generalized linear models
Mixture models
Nonparametric regression
Structural equation models
Time series (State space models, ARIMA, etc.)
Optimization (at least one topic):
Decision Analysis or Multiple Criteria Decision Making
Mixed-integer
Non-linear
Stochastic
Stochastic Models and Discrete-Event Simulation
Econometrics (two or more topics):
Generalized method of moments
Instrumental variables
Limited dependent variables
Panel data
Simultaneous equations models
Machine learning (two or more topics):
Boosting
CART
Clustering
Graphical models
Neural networks
Random forests
Reinforcement learning
Support vector machines
Computing & programming languages (at least one):
Scientific computing (MATLAB, Julia, etc.)
Statistical (SAS, R, etc.)
General (Java, Python, C, C++, etc.)
How To Stand Out
Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing
Possess a PhD in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field
About Walt Disney World Resort
Since opening in 1971, Walt Disney World Resort has played an important role in many childhood and family memories. Today, hundreds of millions of guests from around the globe visit this magical place to enjoy a Disney vacation. Through a combination of creativity, innovation and technology, the resort immerses guests in classic Disney tales and new kinds of family entertainment. Drawing from a rich heritage of storytelling, Walt Disney World Resort cast members bring Disney magic to life through unmatched attention to detail and superior guest service.
About The Walt Disney Company
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Walt Disney Parks and Resorts U.S., Inc., which is part of a business segment we call Walt Disney World Resort.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
May 31, 2018
Full-time
Create innovative scientific models and data-driven decision support tools as a member of our Decision Science team. Not sure where you fit in? We hail from many disciplines, including: Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Machine Learning, and Econometrics. If your expertise lies in data mining, analytical consultation and science modeling, this could be the perfect role for you.
Your Role
Achieve business goals and objectives – Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company
Pursue innovation - Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
Put your skills to the test - Perform data collection and data mining as well as build state-of-the-art decision science algorithms, tools and systems
Drive value - Model and analyze revenue management and pricing related issues using various mathematical, statistical and simulation techniques
Tell the story - Present science results to business partners and clients
Support a global and enterprise-wide mission - Identify and apply best practices in the field of advanced analytics (statistics, operations research, etc.) to multiple Walt Disney Company business units including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products
What We’re Looking For
Possess a Master’s degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field
Must exhibit competence in at least one of the following four analytics/science fields (inclusive of applicable topics as noted), and in one computing topic as follows:
Statistics (two or more topics):
Bayesian statistics
Generalized linear models
Mixture models
Nonparametric regression
Structural equation models
Time series (State space models, ARIMA, etc.)
Optimization (at least one topic):
Decision Analysis or Multiple Criteria Decision Making
Mixed-integer
Non-linear
Stochastic
Stochastic Models and Discrete-Event Simulation
Econometrics (two or more topics):
Generalized method of moments
Instrumental variables
Limited dependent variables
Panel data
Simultaneous equations models
Machine learning (two or more topics):
Boosting
CART
Clustering
Graphical models
Neural networks
Random forests
Reinforcement learning
Support vector machines
Computing & programming languages (at least one):
Scientific computing (MATLAB, Julia, etc.)
Statistical (SAS, R, etc.)
General (Java, Python, C, C++, etc.)
How To Stand Out
Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing
Possess a PhD in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field
About Walt Disney World Resort
Since opening in 1971, Walt Disney World Resort has played an important role in many childhood and family memories. Today, hundreds of millions of guests from around the globe visit this magical place to enjoy a Disney vacation. Through a combination of creativity, innovation and technology, the resort immerses guests in classic Disney tales and new kinds of family entertainment. Drawing from a rich heritage of storytelling, Walt Disney World Resort cast members bring Disney magic to life through unmatched attention to detail and superior guest service.
About The Walt Disney Company
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Walt Disney Parks and Resorts U.S., Inc., which is part of a business segment we call Walt Disney World Resort.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
The Senior Data Engineer works in a small team of multi-disciplined engineers on creating the next generation video consumption platforms. We expect you to be up to date on the happenings in the data community, passionate about what you do and connected to the open source community. You will participate in overall system design, come up with webtailored solutions that emphasize reuse and good design patterns.
Responsibilities
Build and optimize performance of Hadoop/Spark batch jobs.
Build and optimize performance of Spark, Kafka, Cassandra, ELK, and whatever else makes sense for realtime pipelines.
Design and architect high quality data-lake, data-warehouse, and data-marts data models.
Enable and implement Data Science workflows and advanced machine learning algorithms.
Build and optimize performance of ElasticSearch cluster and relevance
Build data pipelines orchestration.
Become and stay an expert in current and emerging technologies and tools
Contribute to Open Source solutions and communities wherever you can
Collaborate with other software engineers and crossfunctional teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications
Very passionate about coding (If you have a Github profile, that’s awesome! Would love to check it out! Otherwise we will ask you to code before or during the interview).
Strong understanding of distributed systems and distributed computation.
Strong working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang
Demonstrated working knowledge with data Apache Hadoop / Spark ecosystem like Spark, Hive, Presto, Oozie, Pig, Hue, Zeppelin
Demonstrated working knowledge of data modeling
Unit, Integration, and Load testing
Developing REST APIs.
Git
Ant, Maven, SBT, and/or Gradle
Unix/Linux
Docker containers building and deployment.
Excellent communication and collaboration skills
Preferred Qualifications
GraphQL knowledge
Kubernetes knowledge
Apache Spark MLlib
Apache Spark GraphX
R
Amazon AWS or other cloud Services
Jenkins
Required Education
BS in Computer Science or related field with 5+ years of experience
About The Walt Disney Studios
For over 90 years, The Walt Disney Studios has been the foundation on which The Walt Disney Company was built. Today the Studio brings quality movies, music and stage plays to consumers throughout the world. Feature films are released under the following banners: Disney, including Walt Disney Animation Studios and Pixar Animation Studios, Disneynature, Marvel Studios and Lucasfilm. The Disney Music Group encompasses the Walt Disney Records and Hollywood Records labels, as well as Disney Music Publishing. The Disney Theatrical Group produces and licenses live events, including Disney on Broadway, Disney On Ice and Disney Live!. Ours is a culture of innovation, inspiration and collaboration that brings together visionary artists, gifted technologists and savvy business minds to conjure up magical entertainment experiences for a global audience.
About The Walt Disney Company
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Movies Anywhere, which is part of a business segment we call The Walt Disney Studios.
Movies Anywhere is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
May 31, 2018
Full-time
The Senior Data Engineer works in a small team of multi-disciplined engineers on creating the next generation video consumption platforms. We expect you to be up to date on the happenings in the data community, passionate about what you do and connected to the open source community. You will participate in overall system design, come up with webtailored solutions that emphasize reuse and good design patterns.
Responsibilities
Build and optimize performance of Hadoop/Spark batch jobs.
Build and optimize performance of Spark, Kafka, Cassandra, ELK, and whatever else makes sense for realtime pipelines.
Design and architect high quality data-lake, data-warehouse, and data-marts data models.
Enable and implement Data Science workflows and advanced machine learning algorithms.
Build and optimize performance of ElasticSearch cluster and relevance
Build data pipelines orchestration.
Become and stay an expert in current and emerging technologies and tools
Contribute to Open Source solutions and communities wherever you can
Collaborate with other software engineers and crossfunctional teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications
Very passionate about coding (If you have a Github profile, that’s awesome! Would love to check it out! Otherwise we will ask you to code before or during the interview).
Strong understanding of distributed systems and distributed computation.
Strong working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang
Demonstrated working knowledge with data Apache Hadoop / Spark ecosystem like Spark, Hive, Presto, Oozie, Pig, Hue, Zeppelin
Demonstrated working knowledge of data modeling
Unit, Integration, and Load testing
Developing REST APIs.
Git
Ant, Maven, SBT, and/or Gradle
Unix/Linux
Docker containers building and deployment.
Excellent communication and collaboration skills
Preferred Qualifications
GraphQL knowledge
Kubernetes knowledge
Apache Spark MLlib
Apache Spark GraphX
R
Amazon AWS or other cloud Services
Jenkins
Required Education
BS in Computer Science or related field with 5+ years of experience
About The Walt Disney Studios
For over 90 years, The Walt Disney Studios has been the foundation on which The Walt Disney Company was built. Today the Studio brings quality movies, music and stage plays to consumers throughout the world. Feature films are released under the following banners: Disney, including Walt Disney Animation Studios and Pixar Animation Studios, Disneynature, Marvel Studios and Lucasfilm. The Disney Music Group encompasses the Walt Disney Records and Hollywood Records labels, as well as Disney Music Publishing. The Disney Theatrical Group produces and licenses live events, including Disney on Broadway, Disney On Ice and Disney Live!. Ours is a culture of innovation, inspiration and collaboration that brings together visionary artists, gifted technologists and savvy business minds to conjure up magical entertainment experiences for a global audience.
About The Walt Disney Company
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Movies Anywhere, which is part of a business segment we call The Walt Disney Studios.
Movies Anywhere is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
