Summary
Steve Tompson is a data science manager combining a PhD in social psychology with 14+ years of applied AI, ML, and NLP experience to build operationally impactful ML systems and foster data-driven cultures. He has led cross-functional teams through large migrations and ML deployments—driving 10–50% uplifts in funnel conversion and automating customer support workflows—most recently managing data science at Spotify after several senior roles at Guild Education. His background in social psychology and network science gives him a unique ability to translate human behavior insights into models and tools that improve coaching, engagement, and decision-making. Comfortable across the stack from prototyping in Python and Jupyter to production with Snowflake, dbt, Airflow, and SageMaker, he scales both models and teams. Colocated in Denver, he pairs rigorous academic training with hands-on product delivery and a knack for turning conversational signals into measurable business outcomes.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Social Psychology, Doctor of Philosophy - PhD, Social Psychology at University of Michigan
Graduate Certificate, Artificial Intelligence: Implications for Business Strategy, Graduate Certificate, Artificial Intelligence: Implications for Business Strategy at MIT Sloan School of Management
Graduate Certificate, Management and Leadership, Graduate Certificate, Management and Leadership at Louisiana State University
Bachelor's degree, Psychology, Bachelor's degree, Psychology at Colgate University