Data Scientist, ClickHouse
Finance Forecasting
$215-267k
+ Stock options
1-2 days a week in office (Menlo Park, CA)
Open-source database for real-time apps and analytics
Be an early applicant
Open-source database for real-time apps and analytics
201-500 employees
Be an early applicant
$215-267k
+ Stock options
1-2 days a week in office (Menlo Park, CA)
201-500 employees
Company mission
To allow users to generate analytical reports using SQL queries in real-time.
Role
Who you are
- 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
What the job involves
- We're hiring a founding Data Scientist to build ClickHouse's Finance forecasting and measurement capability from the ground up
- You'll own the forecasting models, causal measurement programs, and analytical frameworks that directly shape how leadership plans the business
- You'll define the approach, build the infrastructure, and set the standard for how data science operates here
- 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
Our take
Database management systems have long been important to the operations of businesses. However, these systems can be painfully slow. ClickHouse solves this problem with its ultra-fast database management system, that powers real-time analytics and apps.
ClickHouse's founding team hail from companies including Yahoo!, Netflix, Salesforce and Google. This has not only lent the company an impressive amount of credibility, but has also allowed it to identify the needs and challenges of enterprises when it comes to their databases. Its system works between 100 and 1,000 times faster than traditional options, and has led to the company being trusted by the likes of eBay, Uber and Spotify.
It has seen substantial funding too, the most recent of which is cited to help advance its platform across multiple use cases. Alongside this funding, it recently announced the acquisition of LibreChat, an open-source AI chat platform, allowing ClickHouse to launch its Agentic Data Stack. This move positions the company at the forefront of agentic analytics, allowing organizations to interact with massive datasets through AI agents, and demonstrates ClickHouses's commitment to shaping the future of real-time,. intelligent data analysis.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jan 2026
$400m
LATE VC
May 2025
$350m
SERIES C
Total funding: $1.1bn
Company benefits
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 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 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
Company HQ
Old Palo Alto, Palo Alto, CA
Leadership
Aaron Katz
(Co-Founder & CEO)Prior to ClickHouse, Aaron spent 6 years at Elastic as CRO and Strategic Advisor. He also spent 12 years at salesforce, joining as a Regional VP of Sales before working through various roles to become the Senior VP of Enterprise Sales.
Yury Izrailevsky
(Co-Founder & President)Previously, Yury spent 3 years at Google as a VP of Engineering, 8 years at Netflix as a Director of Cloud and Systems Infrastructure and VP of CLoud Computing and Platform Engineering, and 8 years at Yahoo! as a Manager of Yahoo Data Warehouse and Director of Engineering.
Alexey Milovidov
(Co-Founder & CTO)Prior to becoming CTO in 2021, Alexey was the Head of CLickHouse and Yandex for over 13 years.
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