Data Scientist (Member of Data Staff)

Join our team as a Data Scientist, where you'll turn product questions into clear decisions. You'll work across various functions, analyze user behavior, design experiments, define metrics, and build reusable data assets. You'll also use AI to scale data science and communicate findings effectively. The ideal candidate has 6+ years of experience, SQL expertise, and a strong product sense.

• Analyser le comportement des utilisateurs pour informer la feuille de route du produit, accélérer l'adoption et identifier les opportunités d'amélioration de l'expérience utilisateur.
• Concevoir et analyser des expériences, formuler des hypothèses, définir des indicateurs de succès, réaliser des tests A/B, interpréter les résultats et transformer les conclusions en recommandations.
• Collaborer avec les équipes d'ingénierie, de produit, de croissance, de design et de recherche utilisateur pour répondre à des questions ambiguës et prendre des décisions.
• Experimentation depth - you have significant experience designing, running, and analyzing A/B tests
• Strong product sense - you understand user behavior, product tradeoffs, and how to connect analysis to decisions
• Metrics and dashboard experience - you've built useful reporting in tools such as Omni, Mode, Hex, Looker, or similar, and know how to turn metrics into better product decisions
• 6+ years of experience as a data scientist or closely related role
• AI-native working style - you use LLMs and AI tools to move faster without outsourcing analytical judgment
• SQL expertise - you can navigate a complex data warehouse on your own, reason about grain and joins, and debug data issues when something looks wrong
• End-to-end ownership - you take responsibility for the work from problem definition to stakeholder adoption
• Comfort with ambiguity - you can take an open-ended question, structure it, execute the analysis, and make a clear recommendation
• Experience with dbt, data modeling, or analytics engineering
• Python experience for analysis, automation, or internal tools
• Experience combining qualitative user research with quantitative product analysis
• Experience with Snowflake, especially performance and cost-aware querying
• ML experience or experience working across multiple product surfaces
• Experience as one of the first data scientists at an early or growth-stage company