Staff Data Scientist

• Build, deploy, and maintain end-to-end machine learning models 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

• 7+ years of hands-on experience in data science or machine learning engineering
• Strong foundation in statistical modeling, classical ML algorithms, and predictive modeling
• Demonstrated ability to technically lead a diverse group of data scientists, engineers, and analysts.
• 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

Pay range: $185K - $215K

• 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