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 our Staff Data Scientist, you will design and ship production pricing systems such as demand forecasting and price elasticity modeling that directly influence margin and revenue decisions across a portfolio of brands.
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
- Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands.
- Comprehensive benefits including paid time off, 401(k) match, medical, dental, vision, supplemental coverage, and employee discounts across portfolio brands.
Company Overview
Company H1B Sponsorship