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Mudflap · Posted 8d ago

Senior Data Scientist (Product)

$185–225K/yrSenior

Job relayed by Stapply Data, its source: you apply there.

Location
🇺🇸 United States
Contract
Full-time
Role
Data science
Source
Stapply Data

Stack

The posting

Join our team as a Senior Data Scientist (Product) where you'll drive strategic product decisions through advanced analytics, experimentation, and machine learning. You'll collaborate closely with Product, Engineering, Operations, and Leadership to uncover actionable insights that influence product strategy and business outcomes. Your work will directly impact the trajectory of our platform, and you'll have the opportunity to mentor junior data scientists and analysts while establishing best practices. Enjoy a flexible, remote-first work environment and the chance to make a significant impact in a $1 trillion industry.

- Collaborer étroitement avec les équipes Produit, Ingénierie, Opérations et Direction pour prendre des décisions stratégiques en matière de produit grâce à des analyses avancées, des expérimentations et de l'apprentissage automatique. - Concevoir et analyser des tests A/B, développer des modèles prédictifs, construire des produits de données et découvrir des informations exploitables qui influencent la stratégie produit et les résultats commerciaux. - Diriger des initiatives stratégiques en science des données qui ont un impact direct sur les résultats commerciaux, en travaillant en étroite collaboration avec la direction exécutive pour identifier des opportunités à forte valeur ajoutée.

- Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference) - Experience building production-ready models and pipelines - 5+ years of experience in data science, analytics, or related fields - Proficiency in SQL and Python for data manipulation, modeling, and automation - Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders - Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred - Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential