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CVS Caremark.

Sr Analytics Advisor -Machine Learning Data Scientist

CVS Caremark. - Northbrook, IL

Job Title : Sr Analytics Advisor -Machine Learning Data Scientist Job ID : 752033BR Location : IL - Northbrook Street Address : 2211 Sanders Road Category : Analytics Description : Job Description 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. 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 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. 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. Select several potential appropriate modeling approaches for a given analytic problem (neural networks, decision trees, ensemble models, 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. 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 including reports, PPT, graphs, figures and tables, formulating recommendations, and effectively presenting the results to non-analytic audiences. #analytictalent Required QualificationsTo be considered for this exciting opportunity on the Advanced Analytics team, candidates will need to have the followingexperience: A minimum of 7 years of professional post-graduate paid experience in a corporate environment, in constructing, validating, and executing machine learning solutions. Advanced skills and training in machine learning and other quantitative areas such as: Random Forest, Decision Trees, Neural Networks, Ensemble Models, Boosting and Bagging algorithms, Generalized Linear Models, Stochastic Modeling and Multivariate Analysis. Experience in translating business problems across disciplines into advanced analytic projects with measurable businessvalue. Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications Analytics experience within the retail and/or healthcare industries, with experience deploying capabilities across a widerange 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 intoactionable business insights. Preferred QualificationsFluent and recent hands-on experiences in R, Python, SAS, etc. Experience with computer development languages (Java, C ). Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment. EducationPhD in Statistics, Computer Science, Mathematics, Economics,or directly related field with a minimum of five years of post-graduate, paid, corporate work experience.Will also consider candidates with a Master’s degree in these fields, plus 7 years of post-graduate, paid professional experience with an outstanding track record of developing and deploying advanced quantitative analytics to support business objectives Business OverviewCVS 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 SUPPLEMENTFederal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require assistance to apply for this job, please contact us by clicking EEO AA CVS HealthCVS Health does not require nor expect that applicants disclose their compensation history during the application, interview, and hiring process.For inquiries related to the application process or technical issues please contact the Kenexa Helpdesk at 1-855-338-5609. For technical issues with the Virtual Job Tryout assessment, contact the Shaker Help Desk at 1-877-987-5352. Please note that we only accept resumes via our corporate website: https://jobs.cvshealth.com/

17 days 18 hours ago

CVS Caremark.

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Sr Analytics Advisor -Machine Learning Data Scientist CVS Caremark. - Northbrook, IL, United States

   

Location: Northbrook, IL

Company Profile:
CVS Caremark (NYSE: CVS), headquartered in Woonsocket, RI, is the largest pharmacy health care provider in the United States with integrated offerings across the entire spectrum of pharmacy care. Through our unique suite of assets, we are reinventing pharmacy to offer innovative solutions that help people on their path to better health. We are focused on enhancing access to care, lowering overall health care costs for plan members and payors, and improving health outcomes.