Hybrid Data Scientist: Retail Forecasting & ML

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

Job summary

edkey, located in Chicago, IL, is hiring a Data Scientist to work on demand forecasting and analytics. In this role, you will build ML models to support retail operations and translate analyses into insights for stakeholders.

The ideal candidate will have at least 2 years of experience in data science, strong Python and SQL skills, and the ability to communicate technical findings effectively. This position offers a hybrid work model requiring in-office presence approximately once every two weeks.

Qualifications

• 2+ years of hands-on experience in data science, quantitative analysis, or ML engineering.
• Strong Python skills for data manipulation, modeling, and analysis.
• Clear written communication skills for explaining analytical findings.

Responsibilities

• Build, test, and maintain ML models for demand forecasting.
• Translate data into actionable insights for non-technical stakeholders.
• Diagnose forecasting errors and propose remediation plans.

Skills

Python programming

SQL

Model building

Feature engineering

Statistical analysis

Education

Bachelor’s degree or equivalent experience

Tools

Snowflake

Jupyter

scikit-learn

Job description

edkey, located in Chicago, IL, is hiring a Data Scientist to work on demand forecasting and analytics. In this role, you will build ML models to support retail operations and translate analyses into insights for stakeholders.

The ideal candidate will have at least 2 years of experience in data science, strong Python and SQL skills, and the ability to communicate technical findings effectively. This position offers a hybrid work model requiring in-office presence approximately once every two weeks.