Who you are

- 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments

- Experience owning experiment design end to end, including power analysis, primary metrics, and guardrails

- Track record of using experiment results to recommend launching, iterating, or stopping

- Ability to frame causal questions and distinguish prediction from causal impact

- Experience defining KPI frameworks for a product workstream

- Track record of influencing launch or roadmap decisions, with quantified impact on adoption, retention, engagement, revenue, or efficiency and clear personal ownership

- Experience identifying retention drivers and evaluating which users benefited and whether gains persisted

- Experience applying predictive models to segment users or forecast outcomes

- Strong proficiency in SQL and at least one programming language, preferably Python

- Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark

- Ability to communicate assumptions and uncertainty clearly

- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field

- Product analytics experience in a consumer app or digital product, across activation, engagement, retention, or monetization

- Experience evaluating incentives, lifecycle interventions, or personalization

- Experience validating whether targeted treatments improve outcomes

- Track record of sharing reusable analyses and knowledge with your team

What the job involves

- Independently design, execute, and interpret product experiments for feature development, owning power analysis, primary metrics, and guardrails





- Frame causal questions by defining the population, outcomes, and time horizon needed to show whether a product change caused improvement

- Define KPI frameworks for teams to optimize around, linking product objectives to primary, secondary, and guardrail metrics with explicit definitions and success criteria

- Recommend launch, iterate, or stop based on effect size, uncertainty, user value, and business impact

- Balance speed and rigor, and identify when more evidence could change a decision

- Turn ambiguous product questions into structured, credible analysis

- Connect metric movements to behavioral drivers and check alternative explanations

- Use product analytics to understand the user journeys and behaviors most impactful on retention and downstream outcomes, and use those insights to inform product development

- Evaluate how effects differ across user segments without overinterpreting noisy subgroup results

- Separate novelty and short-term gains from persistent, long-term value

- Develop predictive models that act as the intelligence layer for our lifecycle intervention systems

- Use audience segments and predictive signals to help the product team tailor treatment delivery to drive monthly active users and revenue, and validate that targeted treatments actually improve outcomes

- Build clear narratives that translate findings into product action,



influencing priorities and launch decisions as the trusted analytical owner for your workstream

- Produce reusable analyses and share analytical knowledge across the team

- Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work

Benefits

- Equity: Hop on the rocketship and have your own stake in Fetch's success with generous equity.

- 401k Match: Fetch matches 100% of the first 4% of your 401(k) contribution.

- People Benefits: Enjoy a competitive suite of ebenfits to promote health for you and your family,. Medical, Dental, and Vision insurance.

Flexible Spending

Accounts & Health Savings Account, with automatic employer HSA contributions per pay period. Family forming benefit with $10k lifetime stipend.

- Pet Benefits: We know your furry friends are family, too. Pet insurance is fully covered for your first pet.

- Continuing Education: Fetch provides $10,000+/year in education reimbursement support for job-related courses or programs.

- Flexible Paid Time Off: At Fetch, you'll plan your time off as you see fit with our flexible PTO policy. On top of our flexible PTO, Fetch observes 9 paid holidays as well as a year-end-week-long break.

- Robust Leave Policies: Fetch offers generous leave time for health and personal needs, including 20 weeks of parental leave for primary caregivers and 14 weeks for secondary caregivers + $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!

- Flexible Work Environment: Experience our beautiful work spaces, or get things done from the comfort of your couch. Choose what's best for each day.

📌 Senior Data Scientist (Canada)
🏢 Fetch
📍 Canada