Senior Data Scientist - AI

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

• Independently solves complex problems and takes a new perspective on existing solutions
• Ability to structure predictive analysis to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
• Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics ;
  Present recommendations to senior staff and clients
• Acts as an analytics product owner translating business needs into analytics projects and actions. Leads development of solutions with moderate complexity and risk
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms

• 3+ years of analytic experience independently drive analysis and initiatives with track record of business impact
• 3+ years of data science experience, preferred in consulting experience
• Experience in SQL, Tableau
• Experience programming using Python / R

• Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
• Anticipates and prevents problems and roadblocks before they occur
• Demonstrates strong ability to communicate technical concepts and implications to business partners
• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree or PhD preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range