Director, Data Science

Summary

Join Hungryroot, an AI-powered food and wellness company, as their Director, Data Science (Machine Learning). You will build and manage machine learning models for personalization, inventory optimization, and logistics, leading the ML strategy and eventually managing the ML division. This hands-on role involves collaborating with various teams to translate business needs into scalable ML solutions and owning the entire ML pipeline. You will work closely with other engineers and data scientists to enhance and drive the ML roadmap forward. The role requires significant experience in data science and machine learning, including building and deploying models in production environments. Hungryroot offers a remote-first culture with various benefits.

Requirements

• 10+ years of hands-on experience in data science or machine learning engineering
• Strong foundation in statistical modeling, classical ML algorithms, and predictive modeling
• 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

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

Preferred Qualifications

• Experience leading cross functional teams and driving data-science led roadmaps preferred
• Experience in e-commerce, grocery, or subscription-based B2C models

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
• 401k with Company Match
• A work from home stipend to support your initial home-office setup