Related skills
python pandas databricks spark numpyπ Description
- Build and manage end-to-end ML models for personalization, inventory, and logistics
- Lead technical best practices and ML strategy across the team
- Translate business requirements into scalable ML solutions across teams
- Own the full ML pipeline from data exploration to production
- Write clean, production-ready code focused on performance and reliability
- Stay current with ML trends and apply them to real-world problems
π― Requirements
- 5+ years hands-on data science or ML engineering
- Strong foundation in statistical modeling and classical ML
- Python, C++, and ML libraries (pandas, NumPy, XGBoost, LightGBM)
- Experience deploying and monitoring models end-to-end in production
- Experience with A/B testing and KPI improvements
- Familiarity with Databricks and Spark
π Benefits
- Remote-first: work from home or NYC or anywhere in the U.S.
- Equity
- Unlimited vacation policy
- Universal paid parental leave
- Monthly Hungryroot grocery credit
- 401k with company match
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