Senior Data Scientist - Retail Pharmacy Consumer ...

Job DescriptionCVS 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 Analytics & Behavior Change organization has several teams, Consumer Analytics, Front Store 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. Data Scientist Retail Pharmacy, Consumer Analytics, you will be actively 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 , Lifetime Value predictions etc.The role will be directly responsible for:tDelivering multiple high impact product solutions that have a direct impact on our Pharmacy growth bottom line by taking on individual projects & guiding junior memberstLead discussions with key internal/external stakeholders and make recommendations on how best to leverage machine learning and advanced analytic methods to support business outcomes.tProvide 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 problemtManage deliverables across multiple projects with a bias to action, help set right expectations on LOE & timelines.tLead & contribute to cross-functional teams in implementing scalable models in cloud platforms.tPresent technical findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results to non-technical audiencesRequired QualificationsProfessional Experience includes the following areas:t3+ years Hands-on experience designing and implementing end-to-end solutions using Machine Learning in a fast-paced environmentt3+ years proficiency with common modeling tools and frameworks, e.g. Python, R, Scala, TensorFlow, etc.t2+ years proficiency with model pipeline technologies like Airflow, MLFlow, MLOps, Kubeflow etc.t1+ years familiarity with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)t3+ years hands-on experience manipulating data on big data environments using state of the art technologies like PySpark, Hive etc.t2+ years proficiency with cutting edge ML tools & languages, both open source and proprietary eg.TensorFlow, PyTorch, PySpark etc. tExcellent 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 expertisetAbility to drive data management and model productionalization best practicest2+ years experience with data visualization techniques that help tell a deeper story of data distributions and improve explainability of the models.COVID RequirementsCOVID-19 Vaccination RequirementCVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated. You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.Preferred QualificationstExperience with cloud technologies like MS Azure, GCP, AWS etctProductionalized one or more ML applications on big data serversEducationBachelor's Degree with 5+ years, or Master's with 3+ years or PhD with professional experience in any of the following fields:Computer Science, Data Science, Applied Math, Engineering, Operation Research, Statistics, Epidemiology, or other related quantitative fields.Business OverviewBring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Created: 2024-11-02