CVS Health Senior Manager - Data Science in Wellesley, Massachusetts
CVS Health is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Data Science is one of the foundational pillars driving CVS Health into a data centric company. You will be part of a large group of highly accomplished data scientists to help build innovative solutions and manage data using the latest tools and technology. Whether you specialize in Machine Learning, Optimization & Simulations, Statistical Analysis, or Natural Language Processing, you will have ample opportunity to contribute, grow and achieve your best working for Fortune 5’s largest healthcare company.Who we are: CVS Health Enterprise Analytics organization has several teams, Retail Analytics, Pharmacy Personalization Analytics and Data Strategy and Engineering, helping lead the effort to transform healthcare and provide better outcomes for patients by leveraging solutions in a particular business analytic area and deliver new insights to leaders that manage the roadmap for enhancements that drive new development on existing or new solutions. What you will do:As the Sr. Advisor of Data Science, Pharmacy Personalization, you will be actively managing and contributing to a high performing team of data scientists and engineers who are building the foundational pillars of advanced machine learning solutions to solve some of the most relevant healthcare problems. This includes innovation in a robust experimentation framework that enables simultaneous testing of multiple levers – timing, cadence, verbiage, channel etc. that help us deliver 1:1 personalized outreaches to our pharmacy patients and ensure they reach their adherence goals; building core elements of NLP framework that enables real time intelligent conversations with patients; recommendation engine that helps determine the next best action for a patient etc.The role will be directly responsible for:• Delivering multiple high impact product solutions that have a direct impact on our Pharmacy growth bottom line both via the team and by taking on individual projects• Lead discussions with key internal/external stakeholders and make recommendations on how best to leverage machine learning and advanced analytic methods to support business outcomes.• Provide expertise in modeling & statistical approaches (machine learning methods ranging from regression methods, decision trees, deep learning, NLP techniques, uplift modeling; statistical modeling such as multivariate techniques etc.) and leverage the right technique suited for the problem• Manage deliverables across multiple projects with a bias to action, help set right expectations on LOE & timelines.• Lead & contribute to cross-functional teams in implementing scalable models in cloud platforms.• Present technical findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results to non-technical audiences
Required Qualifications: Bachelor’s Degree with 7+ years, or Master’s with 4+ years or PhD with 2+ years professional experience in any of the following fields:Computer Science, Data Science, Applied Math, Engineering, Operation Research, Statistics, Epidemiology, or other related quantitative fields.Professional Experience includes the following areas:• Hands-on experience designing and implementing end-to-end solutions using Machine Learning in a fast-paced environment• Expert level proficiency with common modeling tools and frameworks, e.g. Python, R, Scala, TensorFlow, etc.• Proficient with model pipeline technologies like Airflow, MLFlow, MLOps, Kubeflow etc.• Familiarity with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)• Hands-on experience manipulating data on big data environments using state of the art technologies like PySpark, Hive etc.• Expert level proficiency with cutting edge ML tools & languages, both open source and proprietary eg.TensorFlow, PyTorch, PySpark etc. • Excellent communication skills and adept at explaining complex technical concepts to both technical and non-technical audiences. Ability to influence technical decision by leveraging their in-depth Machine Learning/Statistics and data expertise• Ability to drive data management and model productionalization best practices• Experience with data visualization techniques that help tell a deeper story of data distributions and improve explainability of the models.
• Experience with cloud technologies like MS Azure, GCP, AWS etc• Productionalized one or more ML applications on big data servers
• Bachelor’s Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field; or Advanced Degree• Preferred: Master’s Degree or PhD in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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