Data Scientist, Finance Forecasting

About ClickHouse

Recognized on the 2025 Forbes Cloud 100 list ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3000 customers and ARR that has grown over 250 percent year over year ClickHouse leads the market in real-time analytics data warehousing observability and AI workloads.

The companys sustained accelerating momentum was recently validated by a $400M 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.

Were on a mission to transform how companies use data. Come be a part of our journey!

ClickHouse is the fastest open-source analytical database in the world processing billions of rows per second for thousands of organizations. As we scale our cloud business the decisions that shape pricing capacity planning and go-to-market strategy need to be grounded in rigorous quantitative modeling and that capability is being built from the ground up.

Were hiring a founding Data Scientist to build ClickHouses Finance forecasting and measurement capability from the ground up. Youll own the forecasting models causal measurement programs and analytical frameworks that directly shape how leadership plans the business. Youll define the approach build the infrastructure and set the standard for how data science operates here.

Hybrid: We intend to fill this role in the San Francisco Bay Area and expect this position to go into our Menlo Park office 1-2x per week.

What Youll Be Doing:

• Own production revenue forecasting end-to-end: model development backtesting deployment monitoring and iteration
• Build forecasting systems that account for the dynamics of usage-based pricing consumption patterns and customer lifecycle across our cloud platform
• Design and implement causal measurement frameworks to quantify the revenue impact of product launches pricing changes and GTM motions
• Establish backtesting discipline and accuracy tracking as standing Finance metrics making forecast quality visible and continuously improving
• Contribute to shared analytics infrastructure and internal tooling that accelerates data science workflows across the organization
• Translate model outputs into clear actionable recommendations for Finance Sales and executive leadership
• Partner with Data Engineering Revenue Operations and Product to build the feature pipelines and data foundations your models depend on

What You Bring Along:

• Has an advanced degree in a quantitative discipline (Statistics Mathematics Computer Science Physics Economics) or equivalent depth through production experience
• Hands-on experience building and deploying ML and statistical systems with meaningful time spent on forecasting or causal inference in production
• Has deep applied statistics foundations including comfort with time-series methods state-space models hierarchical approaches or causal inference techniques
• Is highly proficient in Python and SQL with experience productionizing models in cloud-scale data environments
• Has worked with modern analytical platforms such as ClickHouse Snowflake BigQuery or Spark
• Has experience forecasting consumption-based or usage-billed businesses (cloud API marketplace)
• Has a bias toward action in ambiguous early-stage environments and is comfortable defining the problem not just solving it
• Communicates clearly with executive stakeholders and can translate complex modeling work into actionable business recommendations
• Is fluent with AI tools and workflows including LLMs and AI coding assistants and applies them effectively in analytical work
• Is comfortable taking ownership of open-ended problems and building new functions from scratch

Compensation

For roles based in theUnited States the typical starting salary range for this position is listed certain locations such as the San Francisco Bay Area and the New York City Metro Area a premium market range may apply as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed and the ranges may be subject to future adjustments.

An individuals placement within the range will depend on various factors including (but not limited to) education qualifications certifications experience skills location performance and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate please get in touch with us at.

Perks

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
• Healthcare - Employer contributions towards your healthcare.
• Equity in the company - Every new team member who joins our company receives stock options.
• Time off - Flexible time off in the US generous entitlement in other countries.
• A $500 Home office setup if youre 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.

Culture - We All Shape It

As part of a rapidly scaling start up you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about whats happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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.

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