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UPMC

Associate Data Scientist, CRPMK

UPMC Pittsburgh, Pennsylvania, United States

Hospitals and Health Care · 10,001+ employees

4 h ago
data-scientist Junior (0-2 yrs) Full-time United States
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About the role

The Associate Data Scientist develops and validates robust algorithms to analyze healthcare data and supports data architecture design for marketing reporting. They also create predictive forecasting models and implement econometric models like Media Mix Modeling to support marketing ROI.

What they look for

Data modeling Data visualization Quantitative analysis Predictive forecasting SQL C++ MATLAB Python R Healthcare analytics Marketing analytics Media mix modeling Multi-touch attribution Algorithm development Data architecture

Requirements

Candidates must have at least one year of experience in healthcare or marketing analytics and a strong statistical background. An advanced degree in a quantitative discipline is required, along with proficiency in SQL and statistical programming languages such as Python or R.

Full description

The Associate Data Scientist works independently using a robust toolbox to develop solutions for a diverse portfolio of interesting and challenging problems within UPMC’s Marketing team. The Associate Data Scientist works alongside the Senior Manager of Data Architecture and Analytics and will implement and monitor projects pertaining to but not limited to advanced analytics, data modeling, data visualizations, and quantitative analysis.

This is a hybrid position with at least two in-office days per week. If you have prior experience with healthcare analytics or marketing analytics, look no further and apply today!

Responsibilities:

  • Responsible for conceiving, planning, designing, developing and validating robust algorithms for use in analyzing healthcare data.
  • Assists with data architecture design and optimization to ensure efficient data flow and structure for cohesive marketing reporting needs.
  • Identifies the business problem, data exploration, modeling, communication of final results, with the assistance of the analytics team.
  • Creates predictive forecasting models based on revenue driven by marketing efforts to aid in budget development and marketing ROI.
  • Works with marketing vendors and the digital marketing teams to design, develop, and implement econometric models such as a Media Mix Modeling and Multi-Touch Attribution modeling.
  • Performs in accordance with system-wide competencies/behaviors.
  • Advanced degree in a quantitative discipline such as Business Analytics, Statistics, Applied Mathematics, Public Policy, Economics, Decision Science or related field.
  • Bachelor's degree or above preferred.
  • One (1) year of experience in healthcare analytics or marketing analytics required.
  • Excellent written and oral communication skills.
  • Strong statistical background with sound analytical/computational skills.
  • Knowledge of database management using SQL. Proficiency in statistical programming languages such as, but not limited to: C++, MATLAB, Python, or R.
  • Familiarity with business intelligence and data visualization tools preferred.

Licensure, Certifications, and Clearances:

  • Act 34

UPMC is an Equal Opportunity Employer/Disability/Veteran

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