Data Scientist (Product, Moloco Commerce Media)

Join Moloco Commerce Media (MCM), a leading AI-powered advertising platform for marketplaces. As a Data Scientist, you will collaborate with Product, Engineering, and Go-To-Market teams to define success metrics, drive evaluation and experimentation, conduct deep-dive analyses, and communicate insights clearly. You will have the opportunity to shape product development and contribute to a strong data culture within the MCM team. Enjoy comprehensive health and wellness benefits, professional development opportunities, unlimited vacation, and financial benefits.

- Collaborer avec les équipes produit, d'ingénierie et de mise sur le marché pour définir le succès de MCM, évaluer les livrables et décider des investissements futurs. - Définir les métriques de succès pour les nouvelles initiatives produit, établir comment MCM mesure les nouvelles capacités, y compris les métriques clés. - Concevoir des expériences et des méthodologies d'évaluation pour les lancements de produits, analyser les résultats de manière rigoureuse et traduire les résultats en recommandations claires.

- Experience partnering with product or business stakeholders: a track record of defining success metrics, running experiments, and influencing decisions with data - Strong proficiency in Python and SQL, with experience analyzing large-scale datasets - 3+ years of industry experience in data science, analytics, or a related field (or an advanced degree with equivalent applied experience) - Solid foundation in statistics, including experimental design, hypothesis testing, and various statistical analysis techniques such as regression - Bachelor's, Master's and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Mathematics, etc.) - Excellent communication skills with experience presenting technical findings to non-technical stakeholders - Ability to build strong relationships and collaborate effectively in a global, cross-functional organization - You are a strong collaborator who builds trust with product, engineering, and commercial stakeholders - You operate independently in ambiguity, turning an open-ended product question into a structured analytical plan without waiting for a spec - You are energized by fast-moving, early-stage product work, where metrics do not yet exist and evaluation methods have to be invented - You want to shape products, not just measure them, and are comfortable speaking up when the data disagrees with the plan - Experience evaluating machine learning or AI-driven systems in production, including offline evaluation, online experimentation, and ongoing performance monitoring - Experience in ad-tech, marketplace, or e-commerce environments (specifically bidding, ranking, or auction logic) - Familiarity with causal inference methods or evaluation approaches for products where standard A/B testing does not apply - Experience working with geographically distributed teams and stakeholders