Senior Data Scientist ? Medicare Growth Analytics (SQL, Python)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 at a leading national B2C healthcare brand, touching millions of prospects and members? We’re looking for go-to-market leaders to drive innovation and growth in Aetna’s Medicare Business, using consumer marketing, sales, and product design that leverages data science and consulting skills to help Aetna acquire new members.

Our Medicare 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, using the latest machine learning techniques powered by a world-class Hadoop cluster

In the past 4 years our membership has doubled and our market share has grown 50%; you will help us take all this to the next level, using your passion for problem solving, quantitative analysis, and superlative storytelling to identify, incubate, and deploy the next set of innovations to power the growth of tomorrow’s business!

What you will be working on:

• Develop ML models to improve marketing effectiveness – e.g., marketing attribution models, causal inference models, uplift models, etc.
• Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels.
• Design experiments to support marketing – develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement.
• Be a master in cross-functional collaboration by developing deep relationships with key partners across the company, coordinating with working teams and effectively communicating thoughtful data-based recommendations.
• Hybrid work Location options (2 days onsite every other week): NYC; Hartford, CT or Boston, MA area.

Required Qualifications

• 2 years of experience working as a Data Scientist
• 2 years experience with SQL and large unstructured datasets
• 2 years experience programming/scripting with Python
• 2 years experience with statistical analysis, experimentation design and common analytical techniques like regression, decision trees

COVID Requirements

COVID-19 Vaccination Requirement

CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.

You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.

Preferred Qualifications

• Demonstrates strong ability to communicate technical concepts and implications to business partners
• Demonstrable ability to traverse the data science technology stack: data modeling, model development and visualization
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• 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