Description
CSC Generation is seeking a Staff Data Scientist to design and ship production pricing systems, including demand forecasting, price elasticity modeling, and dynamic pricing. The successful candidate will own the full arc from framing ambiguous business problems as well-defined ML tasks through to monitoring models that hold up in production.
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 and translate model limitations, uncertainty, and risk to stakeholders
- Partner with product, engineering, and business teams to ensure ML solutions solve real problems
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, 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
Benefits:
- Competitive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands (for Canadian employees)
- Competitive benefits including paid time off, 401(k) match, medical, dental, vision, supplemental coverage, and employee discounts across portfolio brands (for US employees)