Data Scientist, Finance (Infrastructure & AI)
Tasks
- Analyze unit economics for AI products including contribution margin and cost to serve
- Communicate data driven recommendations to executive stakeholders
- Design research and hypothesis testing approaches
- Develop and own analytical models and frameworks for infrastructure planning
- Drive adoption of AI integrated analytics workflows
- Evaluate ROI on compute infrastructure data and related spend
- Identify efficiency financial and monetization opportunities
- Lead ad hoc analyses for business and financial strategy
- Partner with finance infrastructure and product teams to define success metrics
Perks/Benefits
- N/A
Skills/Tech-stack
AI workflow | AI workflow automation | Agent Orchestration | Bias Mitigation | Causal Inference | Contribution Margin | Cost to serve | Data Governance | Data auditability | Demand Modeling | Econometrics | Elasticity | Experiment design | Experimentation | Forecasting | Machine Learning | Pricing modeling | Python | Quantitative modeling | ROI | Responsible AI | SQL | Scenario Modeling | Statistical Analysis | Uncertainty Quantification | Unit economics | Willingness-to-Pay | Workflow automation
Education
Roles
Regions
Countries
States
Cities
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