Principal Data Scientist

Do you love working with talented people? So do we!

Our team is growing and we’re looking for best-in-class talent. We value experienced, career-minded employees who focus on teamwork, professionalism and an unparalleled commitment to customer service. We offer full-time employees a competitive benefits package that includes health, dental and vision insurance, along with life and AD&D insurance, 401k plans, vacation time and more.

Browse positions available at mSupply and throughout our HVAC, plumbing and appliance parts business units nationwide. Use the filters to narrow by department, business unit or location.

Position: Principal Data Scientist

Location: REMOTE

Remote Status: Remote

Job :3504-mSupply

# of Openings:1

About mSupply

mSupply is North America’s leading distributor of OEM repair parts and equipment, serving professionals in the appliance, HVAC, plumbing, commercial kitchen and pool/spa industries. Headquartered in St. Louis, MO, mSupply is a multi-billion dollar enterprise offering an extensive product range, industry expertise and seamless service. With more than 2,000 associates across the U.S. and Canada, mSupply’s family of brands delivers with speed, reliability and precision through its branches, distribution centers and extensive fleet of delivery vehicles.

Shipped orders reach 93% of U.S. customers via next‑day ground delivery and 100% within two days. For more information, visit

is responsible for the strategy, standards, and business impact of mSupply’s data science function. This role directly manages Senior Data Scientists and an ML/AI Engineer, owns the AI roadmap, and is accountable for all modeling, experimentation, and AI capability delivered by the team. Use cases span demand forecasting, inventory optimization, pricing strategy, customer segmentation, and operational efficiency across plumbing, appliance, and HVAC distribution.

• Directly manage Senior Data Scientists and an ML/AI Engineer, setting expectations for quality, velocity, collaboration, and professional growth.
• Own the data science and AI roadmap, sequencing initiatives based on business value, technical feasibility, data readiness, and team capacity.
• Lead development of the most complex and strategically significant models, including enterprise forecasting frameworks, multi‑variable optimization, and novel analytical approaches.
• Define and evolve the team’s operating model, including research‑to‑production handoff processes, peer review standards, and experiment design methodology.
• Serve as the primary technical advisor to senior leadership on AI and advanced analytics strategy, communicating capabilities, limitations, risks, and investment tradeoffs.
• Lead build vs. buy evaluations for AI capabilities, assessing vendor models, Azure AI services, and open‑source options against custom development.
• Establish the team’s approach to model validation, bias assessment, responsible AI practices, experiment tracking, and model governance.
• Design and standardize experimentation methodology including A/B tests, holdout evaluations, and model lift measurement frameworks.
• Review and approve all models before production, applying a quality bar that balances statistical rigor with business pragmatism.

Required

• Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Operations Research, or a related quantitative field, or equivalent demonstrated experience.
• 8+ years of progressive experience in data science, machine learning, or applied AI, with at least 4 years leading or managing data science teams.
• Expert proficiency in Python and modern ML libraries including scikit‑learn, XGBoost, Light
  
  GBM, and at least one deep learning framework (PyTorch or Tensor Flow).
• Deep expertise in statistical modeling, forecasting, optimization, experimental design, causal inference, and Bayesian methods.
• Demonstrated track record of taking models from research through production with measurable business impact.
• Experience building and scaling data science teams, including hiring, mentoring, and establishing team operating models.
• Strong executive communication…