Data Scientist
Sundayy · United States
- On site
- Full-time
- United States
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About the role
About The Company
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and an annual recurring revenue that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company's sustained, accelerating momentum was recently validated by a $400 million Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
Our mission is to transform how companies use data. We are committed to building the fastest open-source analytical database in the world, capable of processing billions of rows per second for thousands of organizations. As we scale our cloud business, we are investing in rigorous quantitative modeling to shape strategic decisions around pricing, capacity planning, and go-to-market strategies. Join us and be part of our journey to revolutionize data utilization and analytics.
About The Role
We are seeking a founding Data Scientist to spearhead the development of ClickHouse's Finance forecasting and measurement capabilities. In this strategic role, you will own the end-to-end process of building forecasting models, causal measurement programs, and analytical frameworks that directly influence leadership decision-making. Your work will establish foundational infrastructure, set operational standards for data science, and contribute to the company's growth and innovation.
This hybrid role is based in the San Francisco Bay Area, with a requirement to work from our Menlo Park or San Francisco offices 1-2 times per week. As part of our team, you will collaborate closely with cross-functional teams including Data Engineering, Revenue Operations, and Product Development to build robust data pipelines and feature sets that support your models. Your insights and recommendations will help shape strategic initiatives, optimize revenue streams, and enhance overall business performance.
Qualifications
ClickHouse is committed to providing equal employment opportunities to all employees and applicants. We prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We value diversity and inclusion, and we strive to create a welcoming environment for everyone.
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and an annual recurring revenue that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company's sustained, accelerating momentum was recently validated by a $400 million Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
Our mission is to transform how companies use data. We are committed to building the fastest open-source analytical database in the world, capable of processing billions of rows per second for thousands of organizations. As we scale our cloud business, we are investing in rigorous quantitative modeling to shape strategic decisions around pricing, capacity planning, and go-to-market strategies. Join us and be part of our journey to revolutionize data utilization and analytics.
About The Role
We are seeking a founding Data Scientist to spearhead the development of ClickHouse's Finance forecasting and measurement capabilities. In this strategic role, you will own the end-to-end process of building forecasting models, causal measurement programs, and analytical frameworks that directly influence leadership decision-making. Your work will establish foundational infrastructure, set operational standards for data science, and contribute to the company's growth and innovation.
This hybrid role is based in the San Francisco Bay Area, with a requirement to work from our Menlo Park or San Francisco offices 1-2 times per week. As part of our team, you will collaborate closely with cross-functional teams including Data Engineering, Revenue Operations, and Product Development to build robust data pipelines and feature sets that support your models. Your insights and recommendations will help shape strategic initiatives, optimize revenue streams, and enhance overall business performance.
Qualifications
- Advanced degree in Statistics, Mathematics, Computer Science, Physics, Economics, or a related quantitative discipline, or equivalent production experience
- Hands-on experience developing and deploying machine learning and statistical systems in production environments
- Deep understanding of applied statistics, including time-series analysis, state-space models, hierarchical modeling, and causal inference techniques
- Proficiency in Python and SQL, with experience in productionizing models within cloud-scale data environments
- Experience working with analytical platforms such as ClickHouse, Snowflake, BigQuery, or Spark
- Experience forecasting consumption-based or usage-billed businesses, especially in cloud, API, or marketplace contexts
- Strong communication skills, capable of translating complex modeling outputs into clear business recommendations for executive stakeholders
- Familiarity with AI tools and workflows, including large language models (LLMs) and AI coding assistants
- Ability to operate independently in ambiguous, early-stage environments and define problems proactively
- Own and develop production revenue forecasting models from inception to deployment, including backtesting, monitoring, and continuous iteration
- Design forecasting systems that incorporate the dynamics of usage-based pricing, consumption patterns, and customer lifecycle stages
- Create and implement causal measurement frameworks to evaluate the revenue impact of product launches, pricing strategies, and go-to-market initiatives
- Establish backtesting disciplines and accuracy tracking as core finance metrics, ensuring forecast quality and continuous improvement
- Contribute to the development of shared analytics infrastructure and internal tooling to streamline data science workflows across teams
- Translate complex model outputs into actionable insights and recommendations for Finance, Sales, and executive leadership
- Collaborate with Data Engineering, Revenue Operations, and Product teams to build feature pipelines and data foundations necessary for modeling
- Flexible work environment with remote work options, operating in over 20 countries globally
- Employer contributions towards healthcare coverage
- Equity in the company through stock options for all new team members
- Flexible time off policies in the US and generous entitlements in other countries
- A $500 home office setup allowance for remote employees
- Opportunities to participate in global company-wide gatherings and offsites to foster team connection
ClickHouse is committed to providing equal employment opportunities to all employees and applicants. We prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We value diversity and inclusion, and we strive to create a welcoming environment for everyone.