Hybrid Data Scientist — Forecasting & Analytics

Greenthumbindustries; Chicago (IL); Hybrid; USD 90,000 - 115,000; Full time

Job summary

Green Thumb Industries is seeking a Data Scientist to join their team in Chicago. This hybrid role involves building and testing machine learning models to support operational decisions. You will collaborate closely with data engineers and contribute to analytics science while ensuring model performance.

The ideal candidate has over 2 years of experience in data science, strong Python and SQL skills, and a solid understanding of machine learning methodologies. The role offers a pay range of $90,000 - $115,000 USD depending on experience.

Qualifications

• 2+ years of hands-on experience in data science, quantitative analysis, or ML engineering.
• Strong Python skills for data manipulation, modeling, and analysis.
• Experience with supervised and unsupervised ML methods.

Responsibilities

• Build, validate, and refine demand forecasting models.
• Engineer new features for the Snowflake Feature Store.
• Design, validate, and execute analytical studies to address operational questions.

Skills

Data science

Machine learning

Python

SQL

Statistical analysis

Tools

Snowflake

Jupyter

Job description

Green Thumb Industries is seeking a Data Scientist to join their team in Chicago. This hybrid role involves building and testing machine learning models to support operational decisions. You will collaborate closely with data engineers and contribute to analytics science while ensuring model performance.

The ideal candidate has over 2 years of experience in data science, strong Python and SQL skills, and a solid understanding of machine learning methodologies. The role offers a pay range of $90,000 - $115,000 USD depending on experience.