Data Scientist

We are looking for a Data Scientist with expertise in optimization and forecasting to help improve how we manage labor, staffing, and operational resources across our retail locations. This role is critical in building models and decision-support tools that ensure the right people, in the right place, at the right time — balancing customer service, efficiency, and cost. You will work closely with Operations, Finance, and Store Leadership teams to deliver practical solutions that improve labor planning, scheduling, and demand forecasting. The right candidate will be confident, resourceful, and excited to own both the technical and business-facing aspects of applying data science in a fast-paced retail environment.

Responsibilities

• Build and maintain forecasting models (time-series, machine learning, and statistical) for sales and transactions.
• Develop and deploy optimization models (linear / mixed-integer programming, heuristics, simulation) to improve workforce scheduling and labor allocation.
• Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels.
• Build dashboards and automated tools to track forecast accuracy, labor KPIs, and staffing effectiveness.
• Provide insights and "what-if" scenario modeling to support strategic workforce and budget planning.

Knowledge, Skills, And Abilities

Education And Requirements

Required :

Preferred

Physical Requirements

Parker's is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Parker's does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws.