Sr. Data Scientist

Role overview A senior individual contributor role on a data science team working on enterprise pricing, campaign measurement, and customer behavior problems within a digital health company. The position focuses on advancing algorithmic pricing by building interpretable, ML-driven systems that translate data into actionable price recommendations and business outcomes.

Responsibilities - Advance algorithmic pricing across the business by designing systems that model supply, demand, willingness-to-pay, and expected ROI. - Build interpretability into pricing systems so quoted prices, drivers of change, and exception decisions are explainable and consistently actioned. - Apply machine learning, statistical modeling, and optimization methods to deliver measurable impact for clients and internal teams. - Develop a deep understanding of campaign goals and constraints to inform modeling decisions. - Mentor and coach less experienced data scientists, raising the overall technical bar of the team. - Promote models through the full lifecycle, including production deployment and ongoing performance monitoring. - Translate complex findings into compelling narratives for stakeholders across engineering, product, and pricing.

Requirements - Bachelor's degree in Applied Statistics, Computer Science, Economics, Operations Research, Business Analytics, Information Systems, or a related quantitative field. - Six or more years of data science experience developing data products, deploying models to production, and delivering analyses to stakeholders. - Fluency in Python and SQL, with end-to-end experience across the data stack including manipulation, analysis, visualization, model deployment, and pipeline orchestration. - Advanced competency in machine learning and statistical methods, including predictive modeling, model validation and selection, network analysis, price elasticity estimation, and optimization under constraints. - Strong communication and collaboration skills, with the ability to work across engineering, product, and pricing teams. - Demonstrated ability to deliver results against expected timelines in a fast-paced environment.

Nice to have Master's or doctoral degree in a quantitative field, prior experience in healthcare, pharmaceutical, value-based pricing, B2B pricing, or digital advertising, and familiarity with Snowflake, Airflow, HEX, or Gurobi.

Benefits and work setup Located in Cincinnati, OH or remote within the US, with up to 20 days of travel per year. Base salary band of $143,374 to $210,544. Benefits include competitive compensation, flexible time off, hybrid work options, mental and emotional wellness resources, and a 401(k) plan.