Description

You will build and deploy data science models that drive demand forecasting, pricing, and revenue modeling decisions.

Responsibilities

• Develop production-grade Python code for model deployment and integration.
• Perform statistical analysis and causal inference using econometric methods.
• Query and manipulate large datasets using SQL, primarily in Snowflake.
• Containerize applications and manage infrastructure using Docker and AWS.
• Maintain code quality and version control via GitLab.

Required Skills

• 3–5+ years of professional Data Science experience.
• Strong proficiency in Python with a focus on production-level engineering and model deployment.
• Expertise in Statistics, Causal Analysis, or Econometrics.
• Proficient in SQL, with experience in Snowflake preferred.
• Hands-on experience with Docker for containerization.
• Experience with AWS cloud services.
• Comfortable using GitLab for version control.

Preferred Skills

• Background in Econometrics or Statistics (PhD highly preferred).
• Experience with demand forecasting, pricing strategies, or revenue modeling.

Key Skills

Education

Bachelor's degree