Tenure Track Professor of Data Analytics

This role uniquely blends interdisciplinary research with applied data analytics in sports, pushing forward innovative methodologies. The professor not only advances scholarly understanding but also mentors students to tackle real-world sports data challenges, enhancing both academic and practical impacts.

Candidates typically hold a Ph.D. in fields related to data science, statistics, or applied analytics, with a strong portfolio showing expertise in sports-related data. Demonstrated teaching ability and ongoing research potential in interdisciplinary analytics are critical for standing out.

The professor balances teaching core and advanced courses, advising students, conducting pioneering research, and collaborating across departments. A five-course annual teaching load demands efficient time management alongside maintaining an active publication and grant acquisition record.

By recruiting faculty with strong data analytics expertise, the association fosters academic leadership in economic data research. This position supports interdisciplinary collaboration and enriches educational offerings, aligning with the association’s commitment to advancing economic science.

Faculty members gain access to a vibrant network of economists and data specialists, collaborative research projects, and platforms for disseminating cutting-edge analytics work. The association promotes professional growth through conferences and publication avenues tailored to data-driven economic research.

Heath’s emerging academic environment sees moderate demand for data analytics educators, with competition influenced by the region’s growing tech and sports sectors. Candidates with interdisciplinary expertise and local engagement experience tend to have an edge.

Salaries generally range between $75,000 and $110,000 annually, depending on experience, research impact, and teaching credentials. The cost of living in Heath allows for competitive compensation relative to metropolitan academic hubs.

While a Ph.D. is essential, certifications in advanced statistical software, machine learning, or sports analytics tools can enhance candidacy. Familiarity with liberal arts teaching methods and interdisciplinary curriculum development is also highly valued.

Faculty typically advance through tenure milestones into leadership roles such as program directors or research chairs, expanding their influence in shaping data science curricula and spearheading interdisciplinary collaborations within the association’s network.

The curriculum offers a broad range of core courses designed for multiple levels, providing a solid foundation for professors to guide students through applied analytics challenges. This structure encourages innovative teaching aligned with evolving industry and research trends.