Hybrid Director, Data Science

Posted last week

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About the role

  • Lead and develop a high-performing analytics team that uses data science, operations research, and machine learning to solve complex supply chain challenges and foster a culture of collaboration and innovation.
  • Define and execute a supply chain analytics strategy aligned with Grainger’s priorities to drive measurable gains in service, productivity, and network efficiency.
  • Partner with Supply Chain Optimization and cross-functional teams to identify where advanced analytics and optimization can deliver impact and shape future capabilities.
  • Oversee the design, development, and deployment of predictive and optimization models with analytical rigor, production scalability, and disciplined governance throughout the model lifecycle.
  • Champion analytics across the supply chain by explaining complex ideas clearly and advocating for data-driven decisions at all levels.
  • Collaborate with senior leaders to align strategic priorities and integrate analytics solutions into core operations.
  • Develop and mentor analytics talent through coaching, growth opportunities, and clear career paths to strengthen Grainger’s long-term analytics capability.
  • Stay current on emerging technologies in data science, optimization, and AI/ML to keep Grainger at the forefront of supply chain innovation.

Requirements

  • Bachelor's Degree or equivalent experience in Data Science, Computer Science, Statistics, Mathematics or a related field required
  • Master's Degree or equivalent experience in Data Science, Computer Science, Statistics, Mathematics or a related field preferred
  • 10+ years in Data Science or Analytics required
  • Advanced knowledge of machine learning, statistical modeling, and predictive analytics.
  • Proficiency in Python, R, SQL, and cloud platforms (AWS, Azure, GCP).
  • Ability to define and execute a data science strategy aligned with business goals.
  • Skill in translating complex analytics into clear, actionable insights for diverse audiences.
  • Strong ability to influence and partner across a matrixed organization at senior levels to drive impact.
  • Proven ability to build and lead high-performing teams and foster a culture of collaboration and innovation.

Benefits

  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

Job title

Director, Data Science

Job type

Experience level

Lead

Salary

$160,300 - $267,100 per year

Degree requirement

Bachelor's Degree

Location requirements

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