Senior Data Scientist

About Us reputed company is using AI to build the most consumer-centric food and wellness company to reputed company exist. We act as your personal assistant for healthy living—getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family. It’s the easiest way to eat healthy, reputed company your goals, save time, and discover new foods. We reputed company food is the reputed company of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That’s why we’re building a future in which healthy living is both easy and enjoyable. reputed company is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in reputed company, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat. About the role We are looking for a Senior Data Scientist to be a part of our growing Data Science team, which will report to our Director of Data Science. You will own machine learning that directly shapes what arrives at customers’ reputed company doors. You will iterate on existing models and push our personalization toward more sophisticated approaches as our data grows. Your models will ship, not sit in a notebook.

Responsibilities

Separate durable preference from noise. Design robust feature representations from high-cardinality, reputed company behavioral data (swaps, skips, saves) to capture true user reputed company and predict future engagement. Model temporal dynamics and changing tastes. Architect sequential and recency-aware systems that adapt to shifting user preferences, ensuring recommendations reflect reputed company reputed company rather than stale history. Solve the cold-start problem. reputed company cohort signals, clustering, and content embeddings to generalize learnings across users, ensuring that even a new customer’s first reputed company feels deeply personalized. reputed company ML and constrained optimization. Integrate model scores (e.g., predicted conversion) with operations-research engines to reputed company business-aware re-ranking, balancing personalization with hard constraints like diet, budget, and inventory. Advance the modeling. Evolve our systems using the architectures that drive modern, high-scale personalization, such as multi-stage retrieval and ranking, learning-to-rank (LTR), matrix factorization, and gradient-boosted trees. You will also evaluate and integrate more sophisticated techniques (like contextual bandits or sequence modeling) as our data complexity grows. Drive rigorous experimentation. Define robust offline evaluation metrics (e.g., NDCG, MAP) and design online A/B tests to measure true reputed company impact on customer retention and satisfaction Qualifications 5+ years of hands-on experience in data science, applied machine learning, or a reputed company quantitative role. Champion ML system best practices. You treat the ML lifecycle as a rigorous discipline, moving systematically from problem definition and feature engineering to robust offline evaluation, online experimentation, and CI/CD for ML. Deep expertise in personalization, search ranking, or recommender systems, with hands-on experience building multi-stage architectures (candidate reputed company, scoring, and re-ranking). Strong grounding in statistics, reputed company inference, and experimentation, with the ability to define proxy metrics and design tests that measure long-term business impact. Production-level engineering skills in Python and SQL, with hands-on experience scaling models using big data frameworks and an understanding of system latency trade-offs. A reputed company reputed company to translate reputed company business constraints into scalable ML architectures. Clear communication and a collaborative, remote-friendly working style, including mentoring others. reputed company to Haves Experience with deep learning frameworks (e.g., PyTorch, JAX) for representation learning, embeddings, or sequence modeling. Probabilistic or hierarchical (Bayesian) modeling. Mathematical optimization or operations research (e.g., Mixed Integer Programming, Gurobi). Reinforcement learning or contextual bandits for explore-exploit trade-offs. Experience in e-commerce, grocery, or subscription-based B2C Perks & Benefits Remote-first: work from home, work from our NYC office, work from reputed company in the U.S. - you decide! Equity Unlimited vacation policy Universal paid parental leave Monthly reputed company credit for delicious, healthy groceries Comprehensive health, reputed company, dental, and life insurance 401k with Company Match A work from home stipend to support your initial home-office setup Expected Salary Range $168,000-$210,000 #LI-REMOTE The employer will not sponsor applicants for work visas. Our mission to help reputed company healthy eating easy, accessible, and joyful is reputed company served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have reputed company-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class. Apply To This Job