Our partner is looking for a Senior Data Scientist I - Meals based in Canada . This is a high-impact data science role supporting a strategic Meals initiative from post-MVP development through large-scale growth. You’ll lead data science efforts focused on measuring and improving engagement, activation, and reactivation.

Working closely with Product, Engineering, and Design, you’ll translate complex data into clear recommendations for senior stakeholders. This is a highly visible 0-1 environment where you’ll help define success metrics, improve data foundations, and shape a major product area as it scales. The position is remote, with hiring currently limited to Ontario, Alberta, British Columbia, and Nova Scotia.

Lead data science for the Meals initiative, supporting the post-MVP scale-up of data science systems, measurement, and infrastructure. Define and lead experimentation strategies, from hypothesis development and experiment design through analysis, interpretation, and recommendations. Apply A/B testing, causal inference, statistical modeling, and product analytics to guide product strategy and decision-making.

Partner closely with Product Managers, Engineering Leads, Data Engineers, and Designers to align data science with product strategy. Communicate complex technical findings and analytical insights clearly to senior business and engineering stakeholders. Improve logging, instrumentation, metric definitions, and measurement practices across complex data environments.

Connect offline evaluation metrics with online experimentation and business outcomes where relevant. Contribute to a high-visibility 0-1 initiative, helping establish what success looks like as the product moves toward scale. 4+ years of professional experience in data science or a related quantitative field. ~ Proven experience in consumer-facing product data science and close collaboration with Product, Engineering, and Data teams. ~ Strong foundation in product and data analysis, A/B experimentation, causal inference, and statistical modeling. ~ Demonstrated ability to define KPIs,



analyze product funnels, and use data to support product-market fit. ~ Excellent communication skills, with the ability to synthesize complex analytical and technical findings for senior stakeholders. ~ Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline, or equivalent practical experience. ~ Experience with causal inference techniques beyond standard A/B testing, such as holdout groups, difference-in-differences, or quasi-experimental methods, is preferred. ~ Experience connecting offline evaluation metrics such as NDCG, precision/recall, or human evaluation with online experiments and business outcomes is preferred. ~ Proven experience improving logging, instrumentation, and metric definitions in complex data environments is a plus. ~ Ability to operate effectively in a high-visibility environment where experimentation and data-driven decision-making are central to product development. ~ Remote eligibility is currently limited to Ontario, Alberta, British Columbia, and Nova Scotia. 161,000–$170,000 CAD annual base salary for eligible Canadian-based candidates. ~ New-hire equity grant. ~ Annual equity refresh grants. ~ Market-competitive compensation and benefits based on permanent work location. ~ Fully work from home within eligible Canadian provinces. ~ Flexible approach to where work is performed, supported by opportunities for regular in-person connection and team events. ~ Opportunity to work on a high-visibility 0-1 product initiative with significant data science ownership. ~ Close collaboration with Product, Engineering, Design, and Data teams. ~ We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

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📌 Data Scientist Senior - Remote (Toronto)
🏢 Lever
📍 Toronto