Job Description
We are seeking a Data Scientist to support large-scale transformation initiatives across supply chain and field operations platforms. This role will focus on building intelligent, data-driven systems that forecast demand, optimize planning, and improve real-time operational decisioning.
You will work across use cases including supply chain planning (700+ annual remodels, 600+ suppliers, 32 warehouses) and field operations (work order forecasting, labor planning, dispatch scheduling, and routing optimization). This is an opportunity to help transition highly manual processes into automated, scalable, AI-enabled systems.
Key Responsibilities
• Develop forecasting models to predict demand (e.g., work orders, inventory needs, remodel requirements)
• Build machine learning models to improve planning accuracy, efficiency, and operational outcomes
• Design and apply optimization techniques for:
o Labor planning and workforce allocation
o Dispatch scheduling and routing
o Inventory and supply chain decisioning
• Analyze large datasets to identify trends, inefficiencies, and improvement opportunities
• Partner with business stakeholders to translate problems into data-driven solutions
• Support real-time or near real-time decisioning systems where applicable
• Help automate manual workflows through scalable modeling and analytics solutions
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Operations Research, Applied Mathematics, or related field
• 4–8+ years of experience in data science, machine learning, or analytics
• Strong experience with:
o Machine Learning & forecasting techniques (time series, regression, predictive modeling)
o Python (Pandas, scikit-learn, etc.) and SQL
o Working with large, complex datasets
• Ability to translate business challenges into analytical and modeling solutions
Nice to Have Skills & Experience
• Experience with optimization techniques (LP, MIP, routing, scheduling, or resource allocation)
• Background in supply chain, logistics, retail, or field operations
• Experience with real-time decision systems or operational analytics
• Familiarity with Agentic AI or AI-driven decisioning systems
• Experience deploying models in cloud environments (AWS, GCP, Azure)
• Exposure to tools such as Gurobi, CPLEX, OR-Tools, or Pyomo
• Strong communication skills with ability to influence cross-functional stakeholders
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.