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# Associate Data Scientist (Marketing)

- **Company:** UPMC
- **Location:** Pittsburgh, PA, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Health Informatics, C++ (Programming Language), Data Architecture, Data Visualization, Python (Programming Language), MATLAB, SQL Databases, Data Streaming, Statistics Packages
- **Published:** October 18, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3456053318&tx=ZT2625TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

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!, * 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 34UPMC is an Equal Opportunity Employer/Disability/Veteran

## Description

* 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.