Develop and enhance forecasting models and optimization algorithms to drive staffing decisions across US and Canada company-owned stores, improving staffing efficiency and ensuring optimal coverage to meet customer demand.
Requirements
- Bachelors+ with concentration in quantitative discipline
- Proficiency in coding languages for data preparation and modeling, including SQL and Python
- Solid understanding of machine learning and statistical techniques
- Experience with data visualization tools and techniques
- Experience building forecasting models for time series or operational planning
- Background in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support
- Familiarity with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
Responsibilities
- Forecast staffing needs across US and Canada stores
- Conduct exploratory data analysis to inform staffing strategy
- Support the development of optimization algorithms
- Collaborate cross-functionally to evolve the staffing platform
- Influence strategic workforce planning
- Demonstrate curiosity and a growth mindset
Other
- Bachelors+ with concentration in quantitative discipline
- Masters preferred
- Minimum of 1 year of experience
- Excellent attention to detail, along with strong written and verbal communication skills
- Ability to work onsite four days a week
