Woonsocket, Rhode Island

Job Description
You will be actively managing and mentoring a high performing team of junior 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.

development on existing or new solutions.

What you will do:

As the Sr. Manager of Data Science, Pharmacy Personalization, you will be actively managing and mentoring a high performing team of junior 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, deeplearning, NLP techniques, uplift modeling; statistical modeling such as multivariate techniques)
•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
•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.)

Required Qualifications
•5+ years of experience in constructing, validating, and executing machine learning solutions (advanced educational degree can be applied to years’ experience)
•3+ years experience in atleast one of the programming languages Python, R, Scala, C etc.
•Advanced level proficiency with frameworks for Machine Learning & predictive modeling (5+ years)
•2 + years Expert level proficiency with common modeling tools and frameworks, e.g. TensorFlow, Keras, PyTorch, Theano etc.
•Familiarity with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)
•Ability to drive data management and model productionalization best practices
•Experience leading design and implementation of end-to-end solutions using Machine Learning, Optimization, and other advanced technologies, and own live deployments
•Demonstrated experience presenting to audiences including technical, non-technical and senior leaders
•Demonstrated experience leading cross functional initiatives communicating effectively and confidently with business partners, project team members and senior management
•Proven ability to influence decision-making by non-analytical business audiences

Preferred Qualifications
* Experience with big data emerging technologies (like Hive, Spark, Presto etc)
* Experience with cloud infrastructure (like Azure, GCP, AWS etc)
* Experience leading teams and responsibility of career development of junior members

Education
PhD (+ 1) year or Masters(+3) in quantitative field like Computer Science, Mathematics, Economics, Physics, Applied Math, Statistics, Engineering etc.

Business Overview
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. See Job Description

Woonsocket, Rhode Island

Continue serving and work with a purpose

As a CVS Health colleague, you'll find career opportunities across the organization and at every stage of your career. More important, your work will have an impactful purpose on someone's life, including your own. Learn more about how you can continue serving on your next mission at CVS Health.

Careers for Veterans and Military Spouses

 

"The military has an ethos that is grounded in purpose-driven service that’s bigger than the individual. The same holds true for us at CVS Health. You can talk to colleagues in any part of our business and they will be able to articulate our company’s purpose. Working here provides an opportunity for service members and military spouses to continue to serve, just in a civvies."

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