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)

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You will manage and provide oversight on all aspects of profit, customer, people, merchandising, and operations in your store, partnering with various cross-functionals to exceed targets.

Key responsibilities include:

• Driving revenue and exceeding targets
• Leading by example and validating the quality of the in-store customer experience
• Managing inventory, order fulfillment, and store organization
• Ensuring positive customer experience and promoting services offerings
• Monitoring assortment performance and determining action steps to improve sell-through
• Building healthy relationships with employees and establishing a positive and engaging work environment

Requirements:

• Experience in high-volume retail environment
• Financial management experience with success in driving top-line sales and controlling expenses
• Exceptional leadership capabilities with a track record of attracting, developing, and motivating top talent
• Demonstrated understanding of service excellence in a consumer environment
• Excellent communication skills

Benefits:

• Comprehensive medical, dental, and mental health coverage
• Paid time off – inclusive of vacation and sick days
• 4 months of 80% parental leave salary top-up and personalized return to work plans
• Monthly retail bonus program
• Equity program – own a piece of the company and share in our growth
• Generous product discount!

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