Demo

Senior Data Scientist - Inventory Management

Lensa
Columbia, SC Full Time
POSTED ON 3/10/2025
AVAILABLE BEFORE 4/8/2025
Lensa is the leading career site for job seekers at every stage of their career. Our client, CVS Health, is seeking professionals in Columbia, SC. Apply via Lensa today!

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 Sr. Data Scientist role within CVS Health is on the front line of driving innovation and directly impacting business decisions. As a Senior Data Scientist you will use statistical predictive modeling to evaluate scenarios and make predictions on future outcomes in order to solve highly complex business problems and support decision making. This team works with business partners to understand their goals and objectives and generates insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners. You will analyze very large data sets in real-time databases and develop and implement mathematical approaches. The ideal candidate will be a flexible collaborator and team player who can contribute to all phases of the project including data preparation, data cleaning and interpretation, analysis, model building, quality assessments and presentation of results.

Position Responsibilities

  • 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.
  • 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.
  • Uses strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
  • Uses strong programming skills to explore, examine and interpret large volumes of data in various forms.

Required Qualifications

  • 5 years' experience in data science and advanced analytics
  • 5 years' experience writing complex and efficient SQL code and leveraging exploratory data analysis techniques to develop insights from data
  • 3 years' experience with Python
  • 3 years' experience building forecasting models for utilization management (predicting demand, capacity planning, performance monitoring)
  • 2 years' experience with Inventory Management
  • 2 years' experience leveraging Cloud technologies (e.g. GCP, Azure, AWS, Databricks)

Preferred Qualifications

  • Strong business acumen and problem-solving skills with ability to communicate technical concepts and implications to business partners
  • Forward-thinking, anticipates and prevents problems and roadblocks before they occur
  • Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team
  • Experience in healthcare industry
  • Experience within an agile product development framework

Education

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

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The Typical Pay Range For This Role Is

$83,430.00 - $222,480.00

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: 04/05/2025

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.

Salary : $83,430 - $222,480

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