Senior Data Scientist

About the role

You'll join an applied data science team that works directly with the client's operations organization, covering supply chain, inventory and labor. The team works like a forward-deployed unit. They build prototypes quickly and turn them into business cases strong enough to get senior leadership to fund and prioritize them. This role is hands-on and focused on business outcomes, not research.

What you'll do

• Build optimization and forecasting solutions for workforce planning, labor scheduling and day-of labor orchestration.
• Take a problem from rough idea to working prototype quickly, then shape it into a business case with clear ROI.
• Build AI agents and LLM- or VLM-based workflows for operational use cases.
• Turn data and high-level assumptions into recommendations that leadership can act on.
• Work with business leaders, engineering and research scientists to move prototypes toward production.

What you bring

• 8+ years in applied data science or operations research.
• Strong optimization and modeling skills: linear and mixed-integer programming, simulation, and forecasting, including probabilistic forecasting.
• Hands-on experience building AI agents or LLM applications.
• Production-quality Python and SQL that goes beyond notebooks.
• Business sense: you can frame problems, build business cases and present to executives.
• You've worked in fast-paced settings where you had to deliver results quickly.

Strong pluses

• Workforce or labor planning experience in any industry, such as retail, healthcare, manufacturing or logistics.
• Experience with both operational, day-of decision-making and strategy work.
• Exposure to supply chain, inventory or warehouse operations