Senior Data Scientist I - Meals

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.
The role combines product analytics, experimentation, causal inference, statistical modeling, and KPI development.
You’ll design measurement frameworks and experimentation strategies that directly influence product and business decisions.
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.

• 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.
• Experience launching new features in new markets or contributing to 0→1 initiatives is preferred.
• Strong analytical thinking, structured problem-solving, stakeholder management, and cross-functional collaboration skills.
• 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.