Data Science Analyst – FT opportunity (Undergraduate)
Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care.
Who we are:
Aetna’s Analytics & Behavior Change team supports the entire organization by embedding deep analytic insights into key decision processes and focusing on our biggest, most complex problems. We use advanced analytics tools, modeling and machine learning to generate insights by leveraging data within a cutting-edge petabyte-scale Hadoop environment. We’re focused on creating new opportunities that drive change in areas such as member behavior change, pricing, digital health, provider efficiency, clinical products/programs, and health care fraud detection and prevention.
Our goal is to make health care simpler, more affordable, and convenient. We are inspired to make a difference by connecting people to the information they need and helping our members feel the joy of achieving their best health in their own way. Our opportunities in Data Science are designed to enhance your personal and professional growth and build the skills that will lead you to success. Aetna Analytics has the feel of a fresh startup within a 165 year old company, and we’re looking for people who like solving tough challenges and are motivated by a desire to drive change.
What you will do:
• Collaborate with Analytics teams and business partners to understand their goals and objectives
• Use programming skills to explore, analyze and interpret large volumes structured and unstructured data
• Utilize predictive modeling and statistical analysis to determine analytical approaches and evaluate scenarios as well as potential future outcomes
• Generate insights connecting analytical results with business problems or objectives
• Present and provide recommendations to internal teams and stakeholders
• Support the design of programs/campaigns that will improve the quality of health care, lower costs, and help our members achieve their best health
Required Qualifications :
• Experience with data science techniques including mathematical and statistical analyses, modeling and data visualization
• Knowledge of R, Python and SQL
• Excellent problem solving and critical thinking abilities
Preferred Qualifications :
• Ability to communicate technical concepts and implications to peers, managers, and business partners
• Strong collaboration and communication skills within and across teams
• A passion to help transform health care
Education :
• Currently pursuing a Bachelor’s degree with an anticipated graduation date between December 2019 and August 2020
• Required majors include Statistics/Biostatistics, Mathematics, Computer Science, Data Science/Health Data Science, Engineering
• 3.5+ cumulative GPA