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Staff Data Scientist– Pricing Science

CSC Generation· Engineering
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Hybrid (Remote)Full-timePosted 8mo ago

About the role

Role focused on designing and shipping production pricing systems (demand forecasting, price elasticity modeling, dynamic pricing) and building the experimentation infrastructure to measure impact across a portfolio of brands. Reports to the Director of Finance and Business Intelligence. Location: Remote — US or Canada.

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 — including knowing when CV metrics are misleading and when holdout testing is the only honest answer
  • 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 — understand why they fail, not just that they do
  • 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

Qualifications

  • 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 — you have built these models end-to-end, not just consumed them.
  • 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, including the ability to distinguish correlation from causal result.
  • 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.

Skills

Required:ML Systems for PricingProblem Framing & ML Task DefinitionModel Evaluation & MonitoringCausal Inference & Experimental DesignPython & SQLData Quality & Production Debugging

Benefits

  • Competitive Benefits (CAN): Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands.
  • Competitive Benefits (US): Comprehensive benefits including paid time off, 401(k) match, medical, dental, vision, supplemental coverage, and employee discounts across portfolio brands.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About CSC Generation

AI Native Retail Future: Commerce AGI

CSC Generation is the AI-native retail holding company. We modernize iconic brands with data, automation and our Genesis platform to build the future of Commerce AGI.

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