Lead Data Scientist

3 weeks ago

Wellesley, Massachusetts, United States CVS Health Full time

Bring your heart to CVS Health. Every 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.

Position Summary

The Retail Patient safety & Pharmacy Operations Analytics team is looking for an exceptional Lead Data Scientist to drive our Data Science Strategy and roadmap. This role is an opportunity to join the team building the Data and Machine Learning products that power CVS Health to make healthier happen across America. You will have the opportunity to ideate and drive new strategic initiatives which will unlock the immense power of our data to produce value for our customers.

As a Lead Data Scientist on the Retail Patient safety & Pharmacy Operations Analytics team, your role will entail:

  • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes

  • Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry

  • Ability to identify opportunities to enhance and build digital assets to enable new analytics and modeling solutions. Performs analyses of structured and unstructured data to solve multiple complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.

  • Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics

  • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions

  • Interacts with internal and external peers and managers to exchange complex information related to areas of specialization

  • Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions

  • Use strong programming skills to explore, examine and interpret large volumes of data in various forms

  • Mentor more junior team member, share insights across teams, and Review work of more junior team members

Required Qualifications

  • 5+ years of relevant analytic experience

  • 5+ years of business experience leading analyses and initiatives with a track record of business impact

  • Minimum 7 years total business experience

  • Experience building and utilizing a robust experimentation framework (e.g., A/B testing) to measure performance of deployed models

  • Experience programming using R or Python

  • Experience in SQL

Preferred Qualifications

  • Retail Industry experience would be desired

  • Ability to communicate technical concepts and implications effectively to non-technical business partners

  • Demonstrates strong ability to communicate technical concepts and implications to business partners

  • Anticipates and prevents problems and roadblocks before they occur

  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources

  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

Education

  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

  • Master's degree or PhD preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$142,140.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits)

We anticipate the application window for this opening will close on: 03/06/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. 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.

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