Director, Data Science; Machine Learning

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Join to apply for the Director, Data Science (Machine Learning) role at Hungryroot

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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 role

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.

Important: 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.

Responsibilities

• 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

Qualifications

• 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, Num Py, XGBoost, LightGBM).
• Experience with building, deploying, and maintaining models end-to-end in production environments
• Comfortable pair programming…