About the role

What you’ll do

• Turn ambiguous business problems into analytical and AI solutions that run in client environments
• Own delivery end to end from scoping and data work through building, deployment, and handoff
• Extend existing products and tools where appropriate
• Turn exploratory analysis into reusable, tested, and documented code
• Build lightweight apps, dashboards, or well-argued documents to make results usable
• Communicate assumptions, limitations, findings, and recommendations to technical and business stakeholders

What you’ll need

• 4+ years of applied data science delivery
• Quantitative degree in statistics, computer science, engineering, operations research, economics, mathematics, physics, or similar
• Strong proficiency in Python and SQL with code meant for others to use
• Comfortable with Git, pull requests, code review, terminal workflows, package management, and reproducible environments
• Working experience with at least one major cloud and a modern data platform such as Snowflake, Databricks, BigQuery, Redshift, or Spark
• Regular user of LLMs or AI coding tools while maintaining independent judgment

Original job description