Business Data Science Manager

WD-40 COMPANYSan Diego, CA
Remote

About The Position

This role is for a highly skilled individual who possesses both strong data science capabilities (Python, ML, statistical modeling) and genuine commercial understanding (trade ROI, margin analysis, retailer P&Ls). The company is building its data infrastructure, and this role will involve significant 'plumbing' work for the first 6-12 months before focusing on advanced modeling. The position offers genuine autonomy, exposure to senior leadership, the opportunity to ship models, and a supportive director. It is a remote role based in the US, requiring authorization to work without visa sponsorship.

Requirements

  • Pragmatic approach to modeling, selecting the simplest effective model.
  • Proficiency in Python and SQL for data analysis and model building.
  • Strong ethical compass, communicating data-driven insights honestly to leadership.
  • Low ego and high collaboration, thriving in a team environment.
  • Curiosity and self-sufficiency in learning new technologies.
  • Resilience in handling ambiguity and deriving answers from vague requests.
  • Bachelor's degree in a STEM field (math, statistics, computer science, physics, data science, or similar) required.
  • 5+ years of experience preferred, but exceptional candidates with 2+ years will be considered.
  • Familiarity with Python, SQL, Microsoft Fabric, and D365.

Nice To Haves

  • Commercial fluency, particularly in CPG, finance, or sales analytics, with an understanding of margin, trade spend, and retailer perspectives.
  • Master's degree in a STEM field.
  • Familiarity with Power BI or Tableau.

Responsibilities

  • Build and scale models, including time series forecasting, price elasticity, market mix modeling, channel optimization, and ML-based attribution using Python.
  • Perform data cleaning, structuring, and governance to build the data foundation, requiring communication with stakeholders.
  • Translate analytical outputs into executive-level narratives, leading with decisions rather than methodology.
  • Coach Sales Insights & Analytics Managers on understanding model insights and communicating them to the business.

Benefits

  • Full remote flexibility
  • Genuine ownership of a greenfield function
  • Stability of a 70-year-old brand
  • Technical challenge and trust from management
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