Senior Data Scientist (Growth Marketing)

Join Rocket Money as a Senior Data Scientist in Growth Marketing. In this role, you will drive marketing efficiency, attribution, and experimentation efforts using tools like customer lifetime value modeling and media mix attribution modeling. You will lead product scientific experimentation program efforts, design and conduct experiments, and work with data engineering and analytics teams to build scalable machine learning pipelines. You will also mentor other team members and collaborate with engineering teams to design predictive feedback mechanisms.

• Conduire des efforts d'expérimentation scientifique pour les produits, y compris la construction d'outils et de processus pour l'expérimentation.
• Diriger la modélisation de la valeur à vie des clients et l'intégration dans la prise de décision opérationnelle.
• Collaborer avec les équipes d'ingénierie et d'analyse pour construire des pipelines d'apprentissage automatique évolutifs.
• You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert analyst when necessary
• Experience in fintech, banking, or finance is a plus
• You are a team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment with marketing strategy and operations
• Deep experience in several of the following in a professional capacity: customer segmentation, customer lifetime value modeling, A/B testing and causal inference, media mix modeling
• You care about problems, not publications. Solving business problems is your primary goal. We love recovering academics that aren’t looking in the rearview
• You have direct experience building production grade tooling for operational use by teams of internal decision makers. You know how to drive marketing and product strategy with experimental and observational data and build the tools that can implement it at the tactical level
• 6+ years of professional experience in data science, with proficiency in SQL, at least one scripting language, statistical modeling, and engineering scalable experimentation solutions
• Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature
• You’ve worked with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms