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.

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. The Data Platforms position is one of the key architect roles on team. You will have the opportunity to be integrally involved in and influence the architecture of many complex and high-profile projects that will shape the future of data, reporting and analytics for The Walt Disney Company. 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. Responsibilities Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics Designing and developing highly scalable and flexible data platform solutions Designing and documenting 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 Translating business requirements into conceptual and detailed technology solutions Collaborating closely with other architects and peers across the organization architecting and delivering solutions Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in industry and marketplace evolution; continously learning new data technologies and introducing these into the organization Cross-training peers and mentoring junior teammates Basic Qualifications 10 years plus experience architecting enterprise data solutions 10 years of hands-on data platform design and development in large-scale and complex environments Technical Skills Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions In-depth experience with big data platforms, enterprise data warehouses, and reporting & analytics solutions Experience with SAP HANA Experience working with BI reporting and analytics tools Experience with data modeling Experience with semantic layer design Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Understanding and experience with Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions 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) Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured Experience and expertise with data lifecycle management, data-tiering and data archiving Functional understanding of cloud data storage and analytics offerings Experience migrating legacy systems to modern solutions Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files Experience with Hadoop, MapReduce, Spark, R, Python, SQL Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Non-Technical Skills Strong collaboration skills Ability to “influence without authority” Strong communication 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 Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization Good at managing relationships with colleagues and stakeholders outside the organization Not afraid to take risks Creates enduring excitement about what is possible, while setting direction and driving results Thinks big and broad, without being constrained by existing norms or business models Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate Challenges teams – and self, to deliver the very best in everything they doSeeks differing points of view Preferred Qualifications Experience with specific BI Tools: Tableau, Power BI, SAP BusinessObjects, Cognos Experience and background in AI/ML and predictive analytics Required Education Bachelor’s degree in Computer Science or related field Preferred Education Master’s degree in Computer Science or related field 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.