Associate Data Scientist

at  UPMC

UPMC HEALTH PLAN IS LOOKING FOR AN ASSOCIATE DATA SCIENTIST TO JOIN THE MARKETING COMMUNICATIONS TEAM!

UPMC Health Plan is looking for an Associate Data Scientist to produce in-depth reporting and analytics for marketing campaign managers, external business clients, and executive management. The Associate Data Scientist employs a robust computational and mathematical toolset to craft innovative solutions to a wide variety of data-oriented problems. Normal work hours are Monday through Friday daylight business hours or as needed.

• Execution of all phases of quantitative research projects: identifying the business problem, data exploration, analysis, and communication of overall findings.
• Design, develop, and implement health care analytics, marketing analytics, and biomedical modeling programs. Generate insights and recommendations for continued operational excellence.
• Support campaign performance analyses with the Marketing team. Develop a reporting structure that is reliable, scalable, and actionable.
• Identify leverage points with promotional materials (design/messaging/cadence) to optimize member engagement across an assortment of audiences and metrics.
• Conceptualizes and carries out ideas for creating and integrating new data elements, collaborating with other Health Plan associates and/or IT staff as necessary.
• Assist the Data Scientist with conceiving, planning, developing, and validating robust machine learning algorithms for prediction and segmentation as necessary.
• Has experience in constructing end-to-end solutions alongside non-technical professionals. Ability to interface between the technical and broader business communities is critical.
• Bachelor’s degree in a technical discipline such as Statistics, Mathematics, Bioinformatics, Computer Science, Engineering, Economics, or related field required.
• Two years of experience in an analytical role or master’s degree preferred.
• Excellent written and oral communication skills.
• Strong background in analytical, mathematical, and computational skills.
• Solid understanding of database querying and management using SQL strongly preferred.
• Experience with programming languages such as R or Python desirable.
• Knowledge of fundamental statistics and/or machine learning methodologies desirable.
• Must demonstrate a high degree of professionalism, enthusiasm, and initiative.
• Excellent written and oral communication skills.
• Ability to forge strong interpersonal relationships within the department, with other departments, and with external audiences.
• Must be able to manage multiple tasks and projects in a fast-paced environment and possess a keen attention to detail.