Staff Data Scientist – Pricing Science
New
Remote — US or CanadaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- AWSPythonSQLGCPMachine LearningData science
Requirements
- 7+ years of applied ML / data science experience with a track record of production systems
- Deep experience in pricing, demand forecasting, or revenue optimization
- Expert-level Python and SQL
- Deep understanding of ML fundamentals including model evaluation, validation, and failure mode diagnosis
- Strong grounding in causal inference and experimental design
- Ability to work with messy, real-world data and make pragmatic tradeoffs under ambiguity
- Familiarity with cloud ML platforms (GCP/Vertex AI or AWS/SageMaker)
- MS or PhD in Statistics, Computer Science, Operations Research, or a related quantitative field
Responsibilities
- Design and build production ML systems for pricing, demand forecasting, and related revenue problems
- Frame ambiguous business problems as well-defined ML tasks with clear success criteria and measurable outcomes
- Set the standard for model evaluation, validation, and monitoring
- Build robust predictive models across classification, regression, time series, and causal inference
- Identify and prevent data leakage, overfitting, and other failure modes
- Design and analyze experiments to measure causal impact of pricing decisions
- Debug models that fail in production
- Translate model limitations, uncertainty, and risk to stakeholders
- Partner with product, engineering, and business teams
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