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SeniorRemoteOntario, Alberta, British Columbia, Nova Scotia

Senior Data Scientist

J

jobgether

Зарплата

$13,400–$14,200

Уровень

Senior

Формат

Remote

О роли

Описание вакансии

About the company

This position is listed on behalf of a partner company, who manages all applications and next steps.
High-impact data science role supporting a strategic Meals initiative from post-MVP development through large-scale growth.
Remote, with hiring currently limited to Ontario, Alberta, British Columbia, and Nova Scotia.

Responsibilities

Lead data science for the Meals initiative, supporting the post-MVP scale-up of data science systems, measurement, and infrastructure.
Design, build, and maintain metric-tracking frameworks to measure engagement, activation, reactivation, and broader product impact.
Define and lead experimentation strategies, from hypothesis development through analysis and recommendations.
Apply A/B testing, causal inference, statistical modeling, and product analytics to guide product strategy.
Define meaningful KPIs and optimize product funnels.
Partner closely with Product Managers, Engineering Leads, Data Engineers, and Designers.
Communicate complex technical findings to senior business and engineering stakeholders.
Improve logging, instrumentation, metric definitions, and measurement practices.
Connect offline evaluation metrics with online experimentation and business outcomes.

Requirements

4+ years of professional experience in data science or a related quantitative field.
Proven experience in consumer-facing product data science.
Strong foundation in product and data analysis, A/B experimentation, causal inference, and statistical modeling.
Demonstrated ability to define KPIs and analyze product funnels.
Excellent communication skills.
Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline.
Experience with causal inference techniques beyond standard A/B testing (holdout groups, difference-in-differences, quasi-experimental methods) preferred.
Experience connecting offline evaluation metrics such as NDCG, precision/recall, or human evaluation with online experiments preferred.
Experience improving logging, instrumentation, and metric definitions preferred.
Experience launching new features in new markets or 0→1 initiatives preferred.

Conditions

$161,000–$170,000 CAD annual base salary for eligible Canadian-based candidates.
New-hire equity grant and annual equity refresh grants.
Market-competitive compensation and benefits based on permanent work location.
Fully remote work within eligible Canadian provinces.
Flexible approach to where work is performed, with opportunities for regular in-person connection and team events.

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