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

Requirements

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.

Benefits

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 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

forecastingbacktestingcausal measurementapplied statisticstime-series methodsstate-space modelshierarchical approachescausal inference techniquesPythonSQL

Soft Skills

communicationproblem definitionaction biasownershipclear recommendationscollaborationadaptabilityanalytical thinkingexecutive communicationtranslating complex concepts