Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Director of Data Science overseeing data-driven decisions and advanced analytics for supply chain operations at Grainger. Leading a high-performing team and partnering with senior leadership.
Responsibilities
- 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.
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