About the Company We are seeking PhD’s and master’s-level Data Scientist with a few years of experience in applied data science. Background should be in statistics, computer science, applied computing, industrial engineering, operations research, econometrics, quantitative economics, engineering, or applied mathematics/physics. Strong bachelor’s candidates should be considered when they have clear evidence of applied data science delivery, production analytics, or cloud data-system experience.

About the Role Computer-use and engineering fluency

Every hire must be able to operate as a modern technical builder, not as a notebook-only analyst.

Uses Python and SQL fluently.

Works in Git with branches, pull requests, code review, and reproducible environments.

Comfortable with terminal, package management, notebooks, scripts, APIs, logs, and containers.

Can read data from warehouses or lakehouse environments such as Snowflake, Databricks...