Data Scientist

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

PayFlex has been in the benefits administration business for more than 30 years, dedicated to health care account offerings. We help nearly three million members across the country fund their out-of-pocket health care expenses with pre-tax dollars and lower their taxable income. Our experience has propelled us forward to evolve our offerings beyond the standard pre-tax offerings and with a refocused purpose to make it simple to plan, pay, and save for personal well-being. As part of CVS Health, we’re on the verge of revolutionizing the consumer well-being journey.

At PayFlex we know that the culture of our organization is the key to our success. If you align to our purpose, then you may be the right person to join our inspiring, dynamic, and fun team. We can’t wait to meet you! PayFlex is looking for curious and innovative data scientists to join our team. Our data scientists will tackle a range of complex business problems every day. They will play a significant role in improving our understanding of our member journeys, as well as, deepening our client relationships.

As a data scientist at PayFlex, you will be part of a team building best in class statistical models to deliver new business insights; developing, testing and validating unsupervised modeling techniques; and, creating and deploying long term tools to continually evolve business capabilities to compete with current and future market trends.

• Bachelors degree in: Statistics, Mathematics, Computer Science, Engineering, Data Science (Graduate degree preferred)
• Use strong programming skills to explore, examine, and interpret large volumes of both structured and unstructured data
• Build predictive models to investigate problems, detect patterns, and recommend solutions
• Work with internal stakeholders to translate their business needs into analytic projects
• Provide insights to the business to enable data-driven decision making
• Visualize data in user friendly ways
• Develops and participates in presentations to internal stakeholders on analytic results and solutions

Required Qualifications

Technical skills:

• Hadoop, Tableau, R, SAS, SQL, Python
• Strong knowledge of algorithms and predictive models
• Experience with large data sets
• Knowledge of Medicare a plus