Senior Data Scientist, Wharton Graduate Division (Philadelphia)

Senior Data Scientist, Wharton Graduate Division

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

The Senior Data Scientist Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration systemWharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation.

Duties

• Lead development and ownership of Course Match
• Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration.
• Algorithmic and performance refinement
• Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics.
• Internal and external collaboration and system integration
• Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration.
• Data science project contributions beyond Course Match
• Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability.
• Infrastructure development and automation
• Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control.

Qualifications

Philadelphia, Pennsylvania

Wharton School

$100,000.00 - $140,000.00 Annual Rate

Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.

Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

Professional and Personal Development : Penn provides an array of resources to help you advance yourself pe