What are the responsibilities and job description for the Data Scientist, Finance Forecasting position at LS Solutions?
Role: A founding Data Scientist focused on building ClickHouse's Finance forecasting and measurement capabilities.
Responsibilities Include
Responsibilities Include
- Developing end-to-end revenue forecasting models, including backtesting, deployment, and monitoring
- Creating systems that model usage-based pricing, customer behavior, and consumption patterns
- Designing causal measurement frameworks to assess impact of product launches and pricing changes
- Establishing best practices for forecast accuracy and continuous improvement
- Contributing to analytics infrastructure and tooling for data science workflows
- Communicating insights and recommendations to Finance, Sales, and leadership
- Partnering with Data Engineering, Revenue Operations, and Product teams to build data pipelines
- Advanced degree or equivalent experience in a quantitative field
- Hands-on experience with ML/statistical systems, forecasting, and causal inference in production
- Proficiency in Python, SQL, and analytical platforms like ClickHouse, Snowflake, or BigQuery
- Experience with consumption-based or usage-billed business models
- Strong communication skills for translating complex models into actionable insights
- Familiarity with AI tools, workflows, and ownership of open-ended problems