Director, Data Science, Pharmacy Personalization

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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:

The Director of Data Science, Pharmacy Personalization role within CVS Health is on the front line of driving innovation and directly impacting business decisions. As a member of the data science leadership community you will have the opportunity to shape the thinking of how cutting-edge machine learning and predictive analytics can impact some of the key elements of Healthcare & Retail: Pharmacy, Front Store, Supply Chain, PBM etc.

As the Director of Data Science of Pharmacy Personalization, you will be managing a high-performing team of data scientists and machine learning engineers who have made major strides in how analytics informs our personalization strategy and making the customer-pharmacy interaction seamless while continually improving patient adherence outcomes. This includes innovation in a robust experimentation framework that enables simultaneous testing of multiple levers – timing, cadence, verbiage, channel etc.; 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.

This role will be directly responsible for:

• Managing a growing team and guide them in chartering a career path in the data science track. A successful candidate wouldn’t hesitate to roll up their sleeves to help push through technical hurdles the team might face.
• Owning the roadmap and strategy of how data science can influence major business growth areas within Pharmacy Growth in collaboration with senior business leaders
• Co-owning a part of the P&L goals of our Pharmacy Growth partners
• Thought partnership with the data engineering and strategy teams & contribute to build vs buy discussion around ML tools and technology
• Actively contributing in the data science recruiting strategy across Enterprise Analytics
• Mentoring of juniors across team lines and contribute positively to the data science culture and community within the Enterprise.

  Required Qualifications

  Bachelor’s Degree with 10+ years, or Master’s with 5+ years or PhD with 3+ years of 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
• Experience founding and managing data science teams and acting as a manger-doer to push through technical challenges
• Familiarity with cutting edge ML tools & languages, both open source and proprietary eg.TensorFlow, PyTorch, PySpark etc.
• Experience with model pipeline technologies like Airflow, MLFlow, MLOps, Kubeflow etc.
• Excellent communication skills and adept at explaining complex technical concepts to both technical and non-technical audiences. Ability to influence technical decision that align well with overall business strategy

  Preferred Qualifications

• Exposure to cloud based ML solutions and scalable deployment experience

  Education

• Bachelor’s Degree in Computer Science, Data Science, Applied Math, Engineering, Operation Research, Statistics, Epidemiology, or other related quantitative fields.
• Preferred: Master’s Degree or PhD in Computer Science, Data Science, Applied Math, Engineering, Operation Research, Statistics, Epidemiology, or other related quantitative fields.