Decision Scientist

CVS Health

3d

About The Position

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary It’s a new day in health care! Combining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health. Want to help drive the next level of growth as a leading national healthcare brand, touching millions of prospects and members? We’re looking for go-to-market leaders to drive innovation and growth in Aetna’s Product Analytics, using consumer marketing, sales, and product design that leverages data science and consulting skills to help Aetna acquire new members. Our Product Analytics team is integrated into all of Aetna’s go-to-market activities, including overall growth strategies, business case development, customer segmentation, product design, media mix planning, attribution modeling, and member retention. We infuse data science into all growth analytics, powered by petabytes of data, and the latest machine learning techniques. One of the many projects you could be working on: • Work closely with our Marketing and Sales partners to inform Aetna’s Commercial member growth strategy through analytics – e.g., customer segmentation, test design, forecasting, what-if scenarios, and more. • Build models that translate and simplify ambiguous problems into logical frameworks which inform operational and strategic solutions to drive short and long-term business strategy. • Investigate opportunities to drive revenue growth across our business operations and our marketing growth funnels. • Consult on the creation of analytics solutions that effectively weigh business and technical tradeoffs using an intermediate understanding of business strategy as well as available data science toolkits.

Requirements

• 1+ years of experience in business analytics, of which at least one should be post-graduation if you hold a PhD.
• Strong theoretical and hands-on experience with statistics and causal inference required.
• Hands-on programming skills in Python and SQL required.
• Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

Nice To Haves

• Hands-on experience with cloud computing (Google Cloud, AWS, etc.) preferred.
• Hands-on experience with tools and processes for version control (i.e. git, GitHub) preferred.
• Mastery of problem solving and decision-making skills.
• Mastery of collaboration and teamwork.
• Mastery of growth mindset (agility and developing yourself and others) skills.
• Mastery of execution and delivery (planning, delivering, and supporting) skills.
• PhD preferred.

Responsibilities

• Work closely with our Marketing and Sales partners to inform Aetna’s Commercial member growth strategy through analytics – e.g., customer segmentation, test design, forecasting, what-if scenarios, and more.
• Build models that translate and simplify ambiguous problems into logical frameworks which inform operational and strategic solutions to drive short and long-term business strategy.
• Investigate opportunities to drive revenue growth across our business operations and our marketing growth funnels.
• Consult on the creation of analytics solutions that effectively weigh business and technical tradeoffs using an intermediate understanding of business strategy as well as available data science toolkits.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees