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

Aetna’s Clinical Analytics team creates innovative analytic tools to drive better healthcare outcomes. We’re currently seeking a Data Scientist to support the development and implementation of analytic capabilities that enhance the impact of Aetna’s care management programs.

Responsibilities include:

• Development of advanced analytics, predictive models and machine learning/deep learning algorithms to identify care opportunities, prioritization of clinical recommendations, evaluation of program performance, and optimization of information delivery.
• Explores, examines, and interprets large volumes of data in various forms.
• Performs analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Uses data visualization techniques to effectively communicate analytical results and support business decisions.
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
• Collaborating with other data scientists and business partners and participating in all phases of initiatives from exploration of clinical opportunities, development of solutions, to partnering with IT and business teams for implementation.

REQUIRED QUALIFICATIONS

• 2+ years Analytic experience
• 2+ years SQL Programming experience
• 1+ year experience at a Data Scientist
• 1+ year experience with Python
• 1+ year experience with Cloud ( GCP , AWS or Azure )
• 1+ year experience communicating technical concepts to business

PREFERRED QUALIFICATIONS

• Experience with BigQuery ( BQ )
• Experience with ML Modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
• Understanding of health care industry and clinical research concepts.
• Good written and verbal communication skills
• Ability to work with large data sets from multiple data sources

EDUCATION

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree preferred.

• Development of advanced analytics, predictive models and machine learning/deep learning algorithms to identify care opportunities, prioritization of clinical recommendations, evaluation of program performance, and optimization of information delivery.
• Explores, examines, and interprets large volumes of data in various forms.
• Performs analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Uses data visualization techniques to effectively communicate analytical results and support business decisions.
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
• Collaborating with other data scientists and business partners and participating in all phases of initiatives from exploration of clinical opportunities, development of solutions, to partnering with IT and business teams for implementation