Data Scientist

2+ years of hands-on experience in a data science, quantitative analyst, or ML engineering role — with demonstrable work in model building, feature engineering, or statistical analysis

Strong Python skills for data manipulation, modeling, and analysis (pandas, scikit-learn, statsmodels, or equivalent). Jupyter notebook development or equivalent experience

Strong SQL skills — comfortable writing complex queries across multiple joined tables, aggregating at multiple grains, and debugging data quality issues in query output, while validating accuracy and trust

Working experience with supervised and unsupervised ML methods: gradient boosting, time series models, random forest, decision trees, etc

Intellectual curiosity and a bias toward figuring things out — this role requires navigating real, messy data in a complex multi-state retail operation

Experience with time series forecasting methodologies (ARIMA, Prophet, LightGBM/XGBoost for tabular time series, or similar)

Green Thumb Industries is building a data science function that powers real operational decisions — demand forecasting that drives inventory positioning, analytics science that surfaces what's happening in our stores, and feature engineering that makes every model smarter over time.

You will spend your time building, testing, and maintaining ML models, engineering features, and translating data into answers that the business can act on.

You will work closely with the Manager of Data Engineering, AI & ML, who will guide your technical direction and business context while you grow into shaping both.

The systems are already starting to get built — your job is to push them further.