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.
Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
DSLDP Intern at Travelers developing data science solutions and collaborating with cross - function teams. Gain exposure through professional work experience and community outreach events.
Senior Product Analyst collaborating with teams to develop innovative products at Agência Estado. Key responsibilities include data analysis, market research, and facilitating product management processes.
Senior/Staff Data Scientist developing AI for commerce in the Middle East. Architecting systems for merchant and customer AI assistants and content generation.
Data Scientist leveraging statistical methods and machine learning techniques at FUCHS. Focus on data analysis, modeling, and collaboration for data - driven solutions.
Data Science Intern leveraging AI and ML technologies for product development at Seagate. Hands - on experience with data analysis, model development, and actionable insights generation.
Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
Data Manager managing and analyzing company data at Amoddex, a consultancy for IT transformation projects. Ensuring data integrity and supporting strategic decision - making in a collaborative environment.
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
Lead Full Stack Data Scientist at Tilt, building the intelligence layer for data - based decisions. Driving data science strategy and analytics to enhance product and growth insights.