Business Data Science Manager

🕒 Abril 24

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

WD-40 Company

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1953

🛒 Varejo

🛍️ Comércio Eletrônico

Manufacturing • Retail • eCommerce

A WD-40 Company é uma fabricante e distribuidora global de produtos de manutenção, conhecida principalmente por seu produto multiuso WD-40, usado como lubrificante, preventivo de ferrugem e limpador. A empresa comercializa uma gama de produtos sob várias marcas que visam resolver problemas nas áreas de manutenção e reparo, tanto para aplicações profissionais quanto domésticas. A WD-40 Company não se concentra apenas na eficácia dos seus produtos, mas também enfatiza a sustentabilidade e a responsabilidade corporativa em suas operações.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• genuine autonomy • exposure to the CEO and CFO • models that actually ship • a director who will geek out on code with you