The Cincinnati Reds are hiring a Lead Data Scientist to establish and execute a business-focused advanced analytics capability. This senior role will identify high-impact opportunities and independently build predictive, prescriptive, and machine learning models to drive measurable impact across ticketing, marketing, fan engagement, partnerships, and operations.

What You'll Do

Design, develop, and deploy advanced analytical solutions — including predictive and prescriptive models — to address high-priority business questions.
Apply statistical modeling, machine learning, optimization, experimentation, and forecasting techniques to improve decision quality and quantify risk.
Translate complex analytical outputs into decision-ready insights and clear recommendations for senior leadership and non-technical stakeholders.
Own projects end-to-end, from problem framing and data exploration through modeling, validation, and deployment of tools & insights into the business.
Develop production-ready data science solutions, including APIs, scoring pipelines, and system integrations, to embed models directly into business workflows.
Partner with IT and application owners to integrate models into CRM, pricing systems, marketing platforms, and other operational tools.
Partner with the Chief Revenue & Strategy Officer and functional leaders to identify, scope, and prioritize data science initiatives aligned with organizational strategic priorities.
Work closely with Strategy and functional teammates to design and analyze experiments, test hypotheses, evaluate solution tradeoffs, and inform high-impact decisions.
Contribute to the development of a long-term vision for business analytics, spanning advanced data science and scalable reporting capabilities.
Stay current with emerging techniques and data sources in data science, machine learning, and artificial intelligence.

What We're Looking For

Bachelor’s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
7+ years of progressive experience in data science or advanced analytics within a business, sports, media, or consumer-facing environment.
Demonstrated experience independently leading complex, ambiguous analytical projects from concept through impact.
Demonstrated experience influencing leaders through data-driven insights.
Strong proficiency in Python and/or R for data analysis, modeling, and automation.
Deep understanding of statistical methods, machine learning algorithms, forecasting, experimentation, and optimization techniques.
Experience working with SQL and Snowflake / Databricks to operate in cloud-based data science environments like MS Azure.
Experience building and deploying machine learning models into production environments (e.g., REST APIs, batch scoring systems).
Familiarity with data visualization and BI tools (e.g., Tableau, Power BI).

Nice to Have

Master’s degree or PhD.
Experience coaching or developing the analytics skills of others.
Experience applying generative AI, LLMs, or agent-based systems to automate analysis or enhance business workflows in a responsible, production-ready manner.