[Remote] Staff Data Scientist– Pricing Science

Note: The job is a remote job and is open to candidates in USA. CSC Generation is the AI-native holding company re-engineering omnichannel retail. As a Staff Data Scientist, you will design and ship production pricing systems that directly influence margin and revenue decisions across a portfolio of brands operating at scale.

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

Skills

• 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
• Experience in e-commerce, retail, marketplace, or pricing-intensive industries such as airlines, ride-sharing, or fintech

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.

Company Overview