Aetna's Member Analytics team is focused on delivering strategically-impactful programs and tools to help members across all life stages feel the joy of achieving their best health, in their own way.
This position will be a Senior level role within the data science team to develop a world class experimentation, optimization and personalization platform. The candidate will work with a team of data scientists to develop analytics module with a full suite of A/B testing features, build machine leaning models to provide real time recommendations for users and create a self learning optimization engine.
We are looking for a candidate with strong fundamentals in statistics and causal inference. The ideal candidate would have a graduate degree in Statistics and academic or industry experience as an applied statistician
This is a unique opportunity to work on new transformation initiatives with CVS Health as a result of the recent company merger
• Mentoring and collaboration
o Collaborates with other data scientists, champions 360-feedback across team
o Motivates team members and probes into technical detail
• Experience with A/B testing and ETL
o Apply and innovate with statistical methods to reduce the time and data volume needed to draw reliable conclusions from experimental changes to the product
o Create features, and build ETL pipelines as an input for data science model
• Design and develop causal inference models, descriptive and predictive models
o Conduct deep dives, evaluate scenarios and potential future outcomes using statistical and ML models
o Develop proof-of-concepts and prototypes as necessary to showcase new models and analytical offerings to partners and customer
• Stakeholder management
o Consults with business partners to understand problems and goals, understand business value, and translate into business opportunities to be captured through predictive analytics solutions
•Experience with big data, using Spark, Hadoop and Hive.
•Have a strong understanding of experiment design and advance methodologies to run more experiments and get results faster without compromising data quality
•Expertise in using R, Python. PySpark to manipulate large data sets and develop statistical models
•Excellent problem solving skills, critical thinking and conceptual thinking abilities
•Superior skills to effectively communicate technical ideas and results to non-technical clients in written and verbal form
•6+ years experience in statistical data analysis, model evaluation, ETL, and building machine learning models or research experience in the an academic setting
Bachelors Degree in related field
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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