About the Role
Were hiring for an experienced
ML-focused Data Scientist
to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. Youll 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. What youll do Lifecycle modeling:
Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies. Acquisition & lookalikes:
Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs. Next-Best-Action & personalization:
Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders. Unsupervised & representation learning:
Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features. Production & MLOps:
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. Model governance & reproducibility:
Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings. Cross-functional influence:
Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.
Required qualifications
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). Software engineering & tooling:
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. Education:
BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.
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.
Learn More About CookUnity
We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what were looking for, we invite you to explore: CookUnity's Leadership Principles
The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, wed love to connect!
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 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! recblid 37799h6v6me0eprl3v436wkvl1mji1
Were hiring for an experienced
ML-focused Data Scientist
to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. Youll 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. What youll do Lifecycle modeling:
Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies. Acquisition & lookalikes:
Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs. Next-Best-Action & personalization:
Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders. Unsupervised & representation learning:
Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features. Production & MLOps:
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. Model governance & reproducibility:
Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings. Cross-functional influence:
Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.
Required qualifications
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). Software engineering & tooling:
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. Education:
BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.
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.
Learn More About CookUnity
We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what were looking for, we invite you to explore: CookUnity's Leadership Principles
The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, wed love to connect!
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 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! recblid 37799h6v6me0eprl3v436wkvl1mji1