Parker's Kitchen · 1 day ago
Data Scientist
Parker's Kitchen is seeking a Data Scientist to enhance labor management and operational resources across its retail locations. The role involves building models and decision-support tools to optimize staffing and forecasting, working closely with various teams to deliver practical solutions.
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
Qualification
Required
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 skills in time-series forecasting (e.g., ARIMA, Prophet, ML-based approaches)
Proficiency in optimization techniques (linear programming, integer programming)
Strong Python or R programming skills
SQL expertise for large, complex datasets
Strong communication skills with the ability to partner with business stakeholders
Preferred
Experience in Retail, Restaurant, and/or Convenience Stores a plus
Experience with cloud platforms (Snowflake, AWS, GCP, Azure)
Knowledge of BI tools (Tableau, Power BI, Looker)
Company
Parker's Kitchen
At Parker’s, we believe our company is only as successful as our team.
Funding
Current Stage
Late StageLeadership Team
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