
501 - 1000 employees
Founded 1953
🛒 Retail
🛍️ eCommerce
Manufacturing • Retail • eCommerce
WD-40 Company is a global manufacturer and distributor of maintenance products, known primarily for its multi-use product WD-40, which is used as a lubricant, rust preventative, and cleaner. The company markets a range of products under various brand names aimed at solving problems in the areas of maintenance and repair for both professional and household applications. WD-40 Company not only focuses on the efficacy of their products but also emphasizes sustainability and corporate responsibility in its operations.
🕒 April 24
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501 - 1000 employees
Founded 1953
🛒 Retail
🛍️ eCommerce
Manufacturing • Retail • eCommerce
WD-40 Company is a global manufacturer and distributor of maintenance products, known primarily for its multi-use product WD-40, which is used as a lubricant, rust preventative, and cleaner. The company markets a range of products under various brand names aimed at solving problems in the areas of maintenance and repair for both professional and household applications. WD-40 Company not only focuses on the efficacy of their products but also emphasizes sustainability and corporate responsibility in its operations.
• Advanced analytics & model building — ~50% • Data infrastructure & strategy — ~20% • Business partnership & storytelling — ~20% • Omni-channel & e-commerce insights — ~10% • Build and scale models (the main event). Time series forecasting, price elasticity, market mix modeling, channel optimization, ML-based attribution. • Clean, structure, and govern data. • Keep stakeholders bought in while the foundation gets built. • Turn math into decisions. Regression output into a three-slide exec narrative. • Coach the team around you.
• A pragmatist, not a show-off. You pick the simplest model that answers the question. • Real coding ability. Python and SQL. • An ethical spine. You tell leadership what the data says — not what they want to hear. • Low ego, high collaboration. WD-40 has a strong tribe culture. • Curiosity and self-sufficiency. You pick up a new stack in under 90 days and can describe exactly how you did it. • Resilience under ambiguity. You get a vague question from a VP and come back with the right answer. • Commercial fluency is a plus. CPG, finance, or sales analytics background where you understand margin, trade spend, and how retailers actually think gives you a bit of a head start. • Bachelor's in a STEM field (math, statistics, computer science, physics, data science, or similar) required. • 5+ years preferred, but if you have 2+ years and you're exceptional, please apply.
• genuine autonomy • exposure to the CEO and CFO • models that actually ship • a director who will geek out on code with you
Apply Now🕒 April 24
501 - 1000
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