Senior Data Scientist, Growth & Retention
About The Position
We’re hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You’ll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product.
Requirements
- 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models.
- Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs.
- End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning.
- MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS).
- Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility.
- Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions.
- BS in a quantitative field required
Nice To Haves
- Experience in subscription marketplaces, food-tech, or consumer marketplaces.
- Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools.
- Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages.
- Prior work on small-scale recommender systems, embeddings, or NLP personalization.
- MS/PhD in statistics, math, CS, economics or similar preferred.
Responsibilities
- Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies.
- Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs.
- Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders.
- Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features.
- Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels.
- Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings.
- Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.
Benefits
- Health Insurance coverage
- 401k Plan
- Unlimited PTO
- 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical
- Paid Family leave
- Compassionate Leave: 3-5 days each time the need arises
- A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly
- Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle
- Personalized Spanish coach
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What This Job Offers
Job Type
Full-time
Career Level
Senior
