Job Description

Location: Columbus, OH (Hybrid: 2 days/week onsite). No candidates outside of Columbus will be considered.

About the Role

We’re creating something new—and we’re looking for a hands-on, strategic Data Scientist to help us shape it. In this newly established role, you’ll connect data across multiple domains and systems, build forecasting models, and lay the foundation for AI/ML capabilities. From demand forecasting to data product strategy, you’ll play a key role in turning raw data into business-critical insights and innovation.

You’ll work alongside our internal analytics and IT teams, helping align their efforts, identify skill gaps, and move the organization toward a more predictive, intelligent data strategy. If you're a self-starter who thrives in environments where you're given the opportunity to build, test, and lead—this role is for you.

What You’ll Do

• Develop forecasting models that predict demand, usage patterns, and service needs based on historical trends and external data.
• Analyze data from a range of sources — internal databases, third-party APIs, geographic and behavioral datasets — to create location-based insights and usage recommendations.
• Partner with external vendors currently building out the ETL infrastructure, and help identify internal data engineering skill gaps .
• Build data models that tie directly to business outcomes and revenue opportunities, and clearly communicate those results.
• Lead early-stage AI/ML initiatives using tools like Azure ML or Databricks, with flexibility to explore other platforms (AWS, Google, etc.).
• Collaborate with internal teams to unify data analyst and analytics functions , building a connected and consistent approach to data.
• Contribute to the development of potential data-driven products and services , identifying opportunities to monetize insights.
• Work cross-functionally across business units to solve problems, test ideas, and drive forward new data capabilities.

Tech Environment

• Azure: Data Factory, Databricks, Azure SQL, SQL, DB2 (legacy systems)
• Hybrid cloud environment with various third-party and public data sources

What We’re Looking For

• Proven experience in data science and predictive modeling , ideally tied to measurable business outcomes.
• Strong analytical thinking and comfort working with large, diverse datasets — both internal and external.
• Comfortable in a hands-on role that combines strategy, modeling, testing, and implementation.
• Exposure to or understanding of data engineering and ETL processes (vendor-managed ETL currently in place).
• Experience working in cross-functional teams , with the ability to guide others and unify efforts.
• Familiarity with cloud platforms (preferably Azure, but open to others).
• Desire to work in a fast-paced, build-from-scratch environment .
• Local to Columbus preferred, but open to remote with travel flexibility.

Why Join Us?

• Help shape and grow a new data science function from the ground up.
• Be part of a collaborative, future-focused team building innovative data capabilities.
• Work in an environment where experimentation and action are encouraged.
• Get in early and help define a roadmap that could eventually grow into its own business unit.

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