About Us Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We are your personal assistant for healthy living. We get to know your goals, lifestyle, and budget, and we recommend and deliver healthy groceries, easy recipes and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. Founded on the belief that food is the foundation of health, convenience should not mean compromise, and we’re all unique in how we eat and live, Hungryroot is building a future in which healthy living is easy and enjoyable. We are a distributed team built on top talent from over 28 states across the U.S. While we have a headquarters in New York City, we support employees working from wherever they are based. We believe in fostering team connection and collaboration across all of our employees' locations. Expect to attend regular team building events and an annual company retreat. Expect to be treated like an owner who cares about our common goal, not someone who has to clock in and out of work . About the ro leWe are looking for a Director, Data Science (Machine Learning ) to be a part of our growing Data Science team. You will be responsible for building and managing machine learning models to enhance personalization, optimize inventory, and streamline logistics. You will be a key leader in our team, driving ML strategy and, eventually, managing our ML divisio n. This role involves collaborating with various teams to translate business requirements into scalable machine learning solutions and owning the entire ML pipeline; from data exploration to model deployment, while staying up to date with industry advancements to apply innovative techniques effective ly. Importa nt: This is a very hands-on role! At Hungryroot, we are all technical individual contributors in our respective fields. As such, the first several months as part of the team will be heavily weighted towards IC work, with managing a team coming later on. Responsibil * itiesBuild, deploy, and maintain end-to-end machine learning models (decision trees, Bayesian models, clustering, for example) to drive personalization, recommendations, inventory optimization, and logi * sticsLead and evolve the ML function to support the next phase of Hungryroot’s Data Science * teamCollaborate cross-functionally with product, engineering, and ops to translate business needs into scalable ML solu * tionsIdeate and brainstorm with Operations Research Engineers, ML Engineers, Data Engineers, and Data Analysts to continually enhance and drive the ML roadmap fo * rwardOwn the full ML pipeline: from data exploration and feature engineering to model training, evaluation, and productioniz * ationWrite clean, production-ready code with an emphasis on reusability, performance, and reliab * ilityStay current with the latest trends and techniques in machine learning and apply them pragmatically to real-world pro blems Qualific * ations10+ years of hands-on experience in data science or machine learning engin * eeringStrong foundation in statistical modeling, classical ML algorithms, and predictive mo * delingExperience leading cross functional teams and driving data-science led roadmaps pre * ferredProficiency in Python, C++, and ML libraries (e.g.,pandas, NumPy, XGBoost, Ligh * tGBM).Experience with building, deploying, and maintaining models end-to-end in production enviro * nmentsComfortable pair programming and working collaboratively in remote team enviro * nmentsClear communication across technical levels and comfort working with diverse * peersFamiliarity with Databricks and * SparkBonus: Experience in e-commerce, grocery, or subscription-based B2C models Perks & B * enefitsRemote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you * decide * !EquityUnlimited vacation * policyUniversal paid parenta * l leaveMonthly Hungryroot credit for delicious, healthy gr * oceriesComprehensive health, vision, dental, and life in * surance401k with Compan * y MatchA work from home stipend to support your initial home-offic e setup Expected Salar y Range:$200,000- $240,000Bonus Eligible # LI-REMOTE The employer will not sponsor applicants for w ork visas. Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any prote cted class.