Who you are - 10+ years of hands-on experience in data science or machine learning engineering - Strong foundation in statistical modeling, classical ML algorithms, and predictive modeling - Experience leading cross functional teams and driving data-science led roadmaps preferred - Proficiency in Python, C++, and ML libraries (e.g.,pandas, NumPy, XGBoost, LightGBM) - Experience with building, deploying, and maintaining models end-to-end in production environments - Comfortable pair programming and working collaboratively in remote team environments - Clear communication across technical levels and comfort working with diverse peers - Familiarity with Databricks and Spark - Bonus: Experience in e-commerce, grocery, or subscription-based B2C models ### What the job involves - We 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 division - 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 effectively - 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 - Build, deploy, and maintain end-to-end machine learning models (decision trees, Bayesian models, clustering, for example) to drive personalization, recommendations, inventory optimization, and logistics - Lead and evolve the ML function to support the next phase of Hungryroot’s Data Science team - Collaborate cross-functionally with product, engineering, and ops to translate business needs into scalable ML solutions - Ideate and brainstorm with Operations Research Engineers, ML Engineers, Data Engineers, and Data Analysts to continually enhance and drive the ML roadmap forward - Own the full ML pipeline: from data exploration and feature engineering to model training, evaluation, and productionization - Write clean, production-ready code with an emphasis on reusability, performance, and reliability - Stay current with the latest trends and techniques in machine learning and apply them pragmatically to real-world problems ### Benefits - Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide! - Equity - Unlimited vacation policy - Universal paid parental leave - Monthly Hungryroot credit for delicious, healthy groceries - Comprehensive health, vision, dental, and life insurance - Wellbeing benefits including One Medical, Spring Health, LiveHealth, Rightway care concierge, and more - 401k with match - A work from home stipend to support your initial home-office setup