Data Scientist, Product Analytics

🕒 Dezembro 12, 2025

🏄 California, New York, +1 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $175.000 - $240.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

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Whatnot

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2021

🏪 Marketplace

🛍️ Comércio Eletrônico

💰 $260.000.000 Series D em 2022-07

Marketplace • eCommerce

Whatnot é um marketplace de compras ao vivo que permite aos usuários comprar, vender e conectar-se através de uma ampla variedade de produtos por meio de leilões interativos e vendas relâmpago. A plataforma oferece uma seleção diversificada de categorias, incluindo moda, colecionáveis, tênis e mais. Whatnot facilita interações em tempo real entre compradores e vendedores, aprimorando a experiência de compras online com sorteios durante os shows ao vivo e construção de comunidade.

Descrição

• Define and own the KPIs that measure product health, user engagement, and marketplace performance. • Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities. • Translate complex data into actionable recommendations for product and leadership teams. • Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts. • Develop frameworks for causal inference, impact measurement, and long-term product evaluation. • Build scalable methodologies to understand feature performance and guide iteration. • Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot. • Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features. • Advocate for data-driven decision-making and foster a culture of measurement across the product organization. • Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions. • Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.

🎯 Requisitos

• 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization. • A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience. • Proven experience applying statistical and analytical methods to real-world product problems. • Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT. • Proficiency with Python or R for data analysis, modeling, and experimentation. • Experience designing and analyzing A/B tests and understanding causal inference techniques. • Strong data visualization skills and familiarity with BI tools for building interactive dashboards. • Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders. • Experience leading cross-functional projects and influencing product strategy with data. • Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.

🏖️ Benefícios

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) • Health Insurance options including Medical, Dental, Vision • Work From Home Support • Home office setup allowance • Monthly allowance for cell phone and internet • Care benefits • Monthly allowance for wellness • Annual allowance towards Childcare • Lifetime benefit for family planning, such as adoption or fertility expenses • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally • Monthly allowance to dogfood the app • Parental Leave • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.