Sr. Data Scientist

Position Summary

Sr. Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation for Aetna Resources LLC, a CVS Health company, located in Hartford, CT.

• Design and develop data solutions using industry leading tools and technologies to profile data and develop efficient ingestion from PBM, Specialty, Retail, and/or Health Care data sources.
• Develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes.
• Extract and manipulate data from multiple large data sources, deliver predictive models that inform solutions for in-house teams (pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (calories, heart rate, breast cancer, maternity).
• Utilize strong programming skills to explore, analyze, and interpret large volumes of data, solving complex business problems.
• Support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses.

• Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field.
• Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in each of the following areas:
• Big Data, Smart (Semantic) Data, data modeling, and data visualization in applicable sectors.
• Development of subroutines/codes/scripts.
• Exploratory data analysis including pre-processing, cleaning, and preliminary examination.
• Descriptive analytics concepts, including sampling and statistical inferences.
• Predictive analysis techniques including regression, forecasting, and simulations.
• Visual and graphical representation of data.
• Quantitative decision-making using data from multiple sources.
• Machine learning including developing algorithms, data mining, pattern recognition, and supervised/unsupervised learning.
• Programming in R, Octave, and Python.
• Experience with Matlab, SAS, or SPSS.

Pay Range: $–$ per year. Eligible for bonus, commission, equity award program.

Medical, dental, and vision coverage; 401(k) retirement savings;
Employee Stock Purchase Plan; term life insurance; short- and long-term disability; paid time off; paid holidays; wellness programs; education assistance; development courses; CVS store discount.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws.