Job Url: https://www.remoterocketship.com/company/clickhouse/jobs/senior-python-engineer-ml-and-data-science-united-states-remote

Job Description: 
ClickHouse
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ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. 

ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. 

Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use. 


51 - 200 employees


Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

Senior Python Engineer - ML and Data Science
13 hours ago

🇺🇸 United States – Remote

💵 $118k - $178k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

AWS

Azure

BigQuery

Cloud

Distributed Systems

Google Cloud Platform

Pandas

Python

PyTorch

Scikit-Learn

SQL

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📋 Description
• Improve 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.

🎯 Requirements
• 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.
• Nice-to-Have • 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.

🏖️ Benefits
• Flexible work environment
• Healthcare
• Equity in the company
• Time off
• A $500 Home office setup if you’re a remote employee.
• Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.