Staff Data Scientist
New
C
CSC GenerationRetail Analytics
Remote — US or CanadaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- AWSPythonSQLGCPMachine Learning
Requirements
- 7+ years of applied ML / data science experience with a track record of production systems that delivered measurable business impact.
- Deep experience in pricing, demand forecasting, or revenue optimization.
- Expert-level Python and SQL.
- Deep understanding of ML fundamentals beyond API-level usage, 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 before they reach production.
- Design and analyze experiments to measure causal impact of pricing decisions.
- Debug models that fail in production.
- Translate model limitations, uncertainty, and risk clearly to both technical and non-technical stakeholders.
- Partner with product, engineering, and business teams to ensure ML solutions solve real problems.
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