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
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

Requirements

5+ 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, monitoring and maintaining models end-to-end in production environments
Experience with A/B testing models and continuously improving model KPIs based on results.
Comfortable with AI-native approaches to problem solving and engineering.
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

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical modelingpredictive modelingdecision treesBayesian modelsclusteringfeature engineeringmodel trainingmodel evaluationproductionization

Soft Skills

technical leadershipcollaborationcommunicationproblem solvingteamworkcreativityadaptabilitycross-functional collaborationremote collaborationclear communication