Parker's is looking to improve labor, staffing, and operational resources management across retail locations by building models and decision-support tools that balance customer service, efficiency, and cost.
Requirements
- Strong foundation in forecasting techniques (time-series models, regression, machine learning) and optimization methods (linear/mixed-integer programming, heuristics, simulation).
- Proficiency in Python or R for modeling and analysis, along with strong SQL skills for working with large-scale datasets.
- Knowledge of statistics, probability, and applied mathematics to support predictive and prescriptive modeling.
- Experience building and deploying predictive models, optimization tools, and decision-support solutions that drive measurable business outcomes.
- Strong data storytelling and visualization skills using tools such as Power BI, Tableau, or Looker.
- Strong Python or R programming skills.
- SQL expertise for large, complex datasets.
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.
- 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.
- Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels.
Other
- Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Operations Research, or related field.
- Minimum 2-3 years of professional experience in Data Science or a related area.
- Strong communication skills with the ability to partner with business stakeholders.
- Ability to work independently and resourcefully, combining technical depth with practical problem-solving to deliver results in a fast-paced environment.
- Prolonged periods sitting/standing at a desk and working on a computer
