Who you are - Strong proficiency in Python and familiarity with data science libraries and data processing frameworks such as Pandas, Polars, Scikit-learn, PyTorch - Experience working with databases, query engines, or analytical tools (Snowflake, BigQuery, ClickHouse, DuckDB, etc.) - Understanding of distributed systems and OLAP databases - Hands-on experience with data engineering workflows and integrating databases with machine learning or analytics pipelines - Contributions to open-source projects or experience working in an open-source development environment - Strong problem-solving skills and ability to work in a cross-functional team - Strong communication skills - Prior experience with ClickHouse or cloud-based OLAP analytics systems - Understanding of ML workloads and integration with analytical databases - Prior experience working in a developer-first or database technology company ### What the job involves - As a Data Science-Focused Software Engineer, you will be at the intersection of engineering and data science - Your primary responsibility will be to enhance ClickHouse’s Python ecosystem, ensuring seamless integration for data scientists, ML engineers, and analytics professionals for data exploration and preparation workloads - You will work closely with engineering, product, and community teams to optimize Python libraries, enhance data science workflows, and contribute to open-source initiatives - Mprove ClickHouse's Data Science Python experience: Design and implement features that simplify data ingestion, transformation, and analysis for data scientists using Python - Contribute to ClickHouse's Python Integrations: Enhance existing ClickHouse’s Python integrations to provide a seamless data science experience - Work with Open-Source Ecosystem: Contribute to ClickHouse’s open-source repositories, ensuring compatibility with popular data science toolkits - Performance Optimization: Ensure efficient query execution and data handling when interfacing with Python - Collaborate with Internal & External Teams: Work closely with product managers, engineers, and the data science community to gather feedback and refine features - Advocate for Best Practices: Educate users on best practices for leveraging ClickHouse in data science applications via examples and reference architectures ### Benefits - Flexible work environment - ClickHouse is a distributed company offering both office based and remote work options (your choice!). We do not check when you log in or out. You are the owner of your calendar because work-life balance is important to us - Employer contributions towards your healthcare - Equity - Any new team member who joins our company is eligible to receive stock options - Our competitive time-off policy complies with all local country laws at a minimum of given time off + all paid bank holidays - Home office setup allowance for our remote employees