Staff Data Scientist, Finance & Business Ops
San Francisco, CA, US; Remote, US
R
USD 164K-339K Senior-level Full Time
Tasks
- Advise executives on AI strategy and technical trade offs
- Analyze seasonality and forecast diagnostics
- Build dashboards and self serve analytics
- Build forecasting workbench UI
- Communicate release notes and run training walkthroughs
- Conduct backtesting and forecast accuracy evaluation
- Create AI enabled tools for finance users
- Design and ship internal analytics product features
- Develop AI enablement material and documentation
- Develop time series baseline and scenario models
- Instrument usage and analyze adoption logs
- Own forecasting tooling end to end
- Pilot AI capabilities and drive workflow adoption
- Prepare executive slide deck and reporting
- Produce budget vs actuals and variance commentary
- Resolve data quality issues
- Set analytical and technical standards for validation and metrics
- Translate AI research into near term capabilities
- Translate business questions into metrics and diagnostics
Perks/Benefits
Skills/Tech-stack
AI research | Analytics engineering | Apache Superset | Backtesting | Dashboard Development | Data Modeling | Data Quality | Data Visualization | Forecasting | JavaScript | LLM | Looker | Machine Learning | Performance optimization | Python | SQL | Scenario Planning | Series forecasting | Tableau | Time Series | Time Series Forecasting | TypeScript | UX Design | Web development
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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