Data Science Engineer (Python)

3-5+ years of work experience in software engineering, with a strong focus on data engineering, ML engineering, or building applications that use a lot of data Expert in Python, with a strong understanding of object-oriented design, software system design, and experience building high-quality, testable code for production Strong, hands-on experience with tools for handling large amounts of data like Apache Spark (PySpark), Dask, or similar Solid experience with cloud platforms (GCP is highly preferred). This includes putting services live, managing them, making them handle more users (e.g., Docker, Cloud Run, GKE), and working with large data systems (e.g., Dataproc, BigQuery) Strong SQL skills and experience working with large, complex datasets Deep understanding of machine learning ideas, the full process of creating a model, and MLOps principles Excellent problem-solver, good at fixing complex issues in systems that run on many computers, and making them perform better and handle more data Explain complex technical ideas and system design decisions clearly and effectively in English Advanced English proficiency (B2-C1); Excellent communication, teamwork, and consulting skills Passionate about building strong, scalable systems and eager to guide and work with a team Care deeply about code quality, system reliability, and writing good documentation

Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP) Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build) Work with data scientists to get machine learning models ready for production and connect them to our data systems Write detailed documents for the system designs, code, and systems you create and manage Fix complex technical problems in data systems that run on many computers and in ML pipelines