Manager Data Scientist – Tampa, FL

Job title: Manager Data Scientist – Tampa, FL

About the Role We are seeking a Manager, Data Science (Advanced Analytics) to design and deliver high-impact predictive and prescriptive analytics solutions that directly inform business decisions. This hands-on analytics practitioner role emphasizes statistical modeling, forecasting, machine learning, and analytical problem solving, with the ability to translate complex business problems into scalable, decision-ready solutions. You will operate as a technical owner of analytics use cases, partnering with business, product, and data platform teams from problem framing through deployment and ongoing optimization. While this role may provide guidance or mentorship to junior team members, it is primarily an individual contributor role with accountability for outcomes, not team size.

What You'll Do

• Design, build, and validate predictive and prescriptive models addressing key business problems (e.g., demand forecasting, pricing elasticity, promotion effectiveness, consumer behavior).
• Apply appropriate techniques including time-series forecasting, regression, classification, optimization, or simulation based on business need.
• Select modeling approaches grounded in business context, data constraints, interpretability, and scalability, not theoretical novelty.
• Own analytics initiatives from problem framing to data exploration to model development to deployment to performance monitoring.
• Translate ambiguous business questions into structured analytical problems with clear success criteria.
• Continuously refine models based on real-world performance and stakeholder feedback.
• Partner with data engineering and platform teams to ensure models move beyond proof-of-concept into production or repeatable business workflows.
• Embed outputs into planning cycles, commercial decision processes, and operational routines.
• Monitor model performance.

What We're Looking For

• Deep expertise in statistical modeling, forecasting, machine learning, and analytical problem solving.
• Hands-on data science practitioner with ability to design and deliver predictive and prescriptive analytics; not focused on descriptive reporting, dashboards, or KPI tracking.
• Proven ability to translate complex business problems into scalable, decision-ready solutions and to serve as a technical owner of analytics use cases.
• Experience partnering with cross-functional teams (business, product, data platform) and translating business questions into structured analytical problems with clear success criteria.
• End-to-end ownership of analytics initiatives from problem framing to deployment and ongoing optimization, with accountability for outcomes as an individual contributor.
• Experience operationalizing models and embedding outputs into planning cycles and operational processes.