Data Science Analyst

$74,160 - $148,320/Yr

CVS Health - New York, NY

posted 2 months ago

Full-time - Entry Level
Remote - New York, NY
Health and Personal Care Retailers

About the position

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. As a Data Science Analyst, you will work with analytics teams and our business partners to understand their goals and objectives. You will use your programming skills, predictive/statistical modeling, and analysis to analyze large volumes of structured and unstructured data, determine analytical approaches, and evaluate potential outcomes. Your role will involve generating insights that connect analytical results with business problems/goals and presenting recommendations to internal teams and business partners. You will also help design programs and campaigns aimed at improving the quality of health care, lowering costs, and assisting our members and customers in achieving their best health. Analytics & Behavior Change is an innovation engine supporting the entire CVS Health organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. We partner with business leaders throughout the organization using advanced analytics tools, modeling, and machine learning to generate insights by using data to create meaningful impact. We're focused on creating new opportunities that drive change across the enterprise in areas such as customer experience and behavior change, clinical trial recruitment and engagement, digital health, provider efficiency and effectiveness, patient safety, health care cost savings, clinical services/care management, and fraud, waste, and abuse detection/prevention. We are inspired to make a difference through data by making health care human-centered and connecting people to the information they need to feel the joy of achieving their best health. Our opportunities in Data Science and Data Engineering are designed to enhance your personal and professional growth and build the skills that lead to success. Analytics & Behavior Change has the feel of a startup within one of the nation's largest companies, and we're looking for people who are motivated by solving tough challenges to join us in transforming health care….one line of code at a time.

Responsibilities

  • Work with analytics teams and business partners to understand their goals and objectives.
  • Use programming skills, predictive/statistical modeling, and analysis to analyze large volumes of structured and unstructured data.
  • Determine analytical approaches and evaluate potential outcomes.
  • Generate insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners.
  • Help design programs/campaigns to improve the quality of health care, lower costs, and help our members and customers achieve their best health.

Requirements

  • Currently pursuing a Bachelor's degree program with an expected graduation date between December 2024 and August 2025.
  • Knowledge of data science techniques including statistical analysis and modeling.
  • Experience in R or Python and SQL.

Nice-to-haves

  • Excellent problem solving and critical thinking ability.
  • Strong written and verbal communication skills.
  • Ability to clearly present technical concepts and implications to both technical and non-technical audiences.

Benefits

  • Store discount
  • Employee stock purchase plan
  • Visa sponsorship
  • Disability insurance
  • Health insurance
  • Dental insurance
  • 401(k)
  • Tuition reimbursement
  • Paid time off
  • Vision insurance
  • Employee discount
  • Life insurance
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