Senior Decision Scientist - Medicare Growth Analytics

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.

The combination of CVS Health and Aetna was a groundbreaking moment for our company and 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.

Do you want to drive the next level of growth for a leading national B2C healthcare brand, impacting millions of prospects and members? We’re seeking innovative leaders to accelerate growth in Aetna’s Medicare Business by leveraging consumer marketing, sales, and product design powered by data science and consulting expertise.

Our Medicare Analytics team is integral to Aetna’s go-to-market strategies, including growth planning, business case development, customer segmentation, product design, media mix optimization, attribution modeling, and member retention. Using advanced machine learning techniques and petabytes of data, we infuse analytics into every aspect of our growth initiatives.

You’ll help us shape the future by solving complex problems, driving quantitative analysis, and delivering data-driven insights that power tomorrow’s business innovations.

Key Responsibilities

• Work closely with our Marketing and Sales partners to inform Aetna’s Medicare member growth strategy through analytics – e.g., customer segmentation, test design, forecasting, what-if scenarios, and more

• Develop compelling data stories using the latest visualization tools to deliver insights

• Collect, aggregate, and analyze data from internal and external sources to generate insights that drive business performance

• Create actionable reports and dashboards highlighting key performance indicators, areas for improvement, and root cause analyses

• Build and automate data pipelines to train and score machine learning models, build analytics data lakes, and power automated data visualization tools

Location: Must be available to work a hybrid schedule in the New York City (preferred), Boston, or Hartford office.

Required Qualifications

• 3+ years of professional experience in data analytics, machine learning, BI, data engineering, or applied data science

• 3+ years of experience using with SQL and Python/R for data analysis

• 2+ years of experience using statistical techniques on complex data to solve business problems

• Proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drive decisions

• Ability to clearly articulate and communicate complex problems and solutions in a simple, logical, and impactful manner

• 2+ years of experience with data visualization tools such as Tableau, R Shiny, or Power BI

• 1+ years of demonstrated ability to manage relationships with technical and non-technical stakeholders

Preferred Qualifications

• 5+ years of professional experience in data analytics, machine learning, BI, data engineering, or applied data science

• 5+ years of experience in marketing analytics or management consulting

• 5+ years of experience using with SQL and Python/R for data analysis

• 3+ years of experience using statistical techniques on complex data to solve business problems

• Proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drive decisions

• Ability to clearly articulate and communicate complex problems and solutions in a simple, logical, and impactful manner

• 3+ years of experience with data visualization tools such as Tableau, R Shiny, or Power BI

• 3+ years of demonstrated ability to manage relationships with technical and non-technical stakeholders

Education

• Bachelor’s degree in a business or quantitative field, or equivalent formal education and experience

• Master’s degree in a business or quantitative field preferred

Anticipated Weekly Hours

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