Staff Data Scientist

Join our team as a Staff Data Scientist, where you will design, build, and own the end-to-end data framework that defines our business health. You will connect the dots between customer acquisition, multi-product lifecycles, complex healthcare reimbursement cycles, and operational cost structures. Your work will directly influence marketing spend allocation, product pricing, retention management, and long-term profitability projections. You will collaborate with executive leadership and act as a critical strategic partner at the intersection of Data Science, Finance, Marketing, and Operations.

• Concevoir, construire et posséder le cadre de données de bout en bout qui définit la santé de l'entreprise, en reliant l'acquisition de clients, les cycles de vie des produits et les structures de coûts opérationnels.
• Développer des modèles sophistiqués de valeur à vie (LTV) qui tiennent compte de la volatilité des remboursements de soins de santé et de la valeur temporelle de l'argent.
• Optimiser la composition du "panier" et les dynamiques de vente croisée entre les lignes de produits pour maximiser la marge totale.
• Programming & Querying: Advanced proficiency in Python for complex statistical analysis, alongside expert-level SQL for manipulating large data streams
• Advanced Modeling & Stats: Mastery of predictive modeling and Causal Inference techniques (e.g., uplift modeling, propensity score matching, synthetic controls, or diff-in-diff)
• Simulation Design: Experience structuring systemic business simulations or stochastic modeling
• Attribution & LTV: Proven track record building attribution models (algorithmic or heuristic) and handling survival analysis for churn and retention forecasting
• Expert-Level Evaluation: Deep expertise in model evaluation methodologies, backtesting, and validation. Because your models directly impact financial forecasts and pricing decisions, you have a rigorous approach to error analysis, cross-validation, and drift detection
• Production-Grade Engineering: Proven experience architecture - building, deploying, and maintaining production-grade machine learning models. You write clean, modular, and well-tested code that integrates seamlessly into downstream workflows
• Modern AI Workflow: Active adoption and mastery of Large Language Models (LLMs) and generative AI tools within your personal development workflow to accelerate coding, debugging, documentation, and prototyping
• Business Acumen: The ability to translate complex statistical outputs into clean, actionable frameworks for the CFO, CMO, and executive leaders. You know how to influence cross-functional roadmaps with data
• Unit Economics Intuition: You have a deep, near-obsessive understanding of the relationship between CAC, LTV, payback periods, gross margins, and contribution margins
• Strategic Problem Structuring: Ability to take vague, complex business questions and break them down into answerable, high-impact analytical components
• Ideally, your background includes time in Marketplaces, Healthcare operations, or D2C subscription businesses
• Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline
• Demonstrated progression in scope and impact, with a history of acting as a strategic partner to finance and operations teams
• 8+ years of experience delivering high-impact data science solutions