Senior Data Scientist – Growth & Engagement

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Independently design, execute, and analyze product experiments for feature enhancement, which includes power analysis, primary metrics, and guardrails.

• Formulate causal questions by establishing populations, outcomes, and timeframes.

• Create KPI frameworks that connect product goals to primary, secondary, and guardrail metrics.

• Advise on whether to launch, iterate, or halt based on effect size, uncertainty, user value, and business consequences.

• Transform unclear product inquiries into structured, credible analyses.

• Link metric changes to behavioral influences and evaluate alternative explanations.

• Utilize product analytics to gain insights into user journeys and retention factors.

• Assess effects across user segments and differentiate between novelty and sustainable long-term value.

• Develop predictive models for lifecycle intervention systems.

• Collaborate with Engineering to embed predictive signals into treatment delivery.

• Use experiments to ascertain if targeting enhances retention, monthly active users, and revenue.

• Craft narratives that convert findings into actionable product strategies and influence priorities and launch decisions.

• Generate reusable analyses and disseminate analytical knowledge across the team.

• Employ Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to create dependable analyses and modeling workflows.

• Work alongside Product, Engineering, and Design teams to define KPIs, success criteria, guardrails, and product decisions.

⛳️ Requirements

• Over 5 years of experience in data science, machine learning, or applied analytics.

• Proven ownership of intricate analytical challenges in product-focused environments.

• Experience managing experiment design from start to finish, including power analysis, primary metrics, and guardrails.

• A history of utilizing experiment results to recommend launching, iterating, or discontinuing efforts.

• Capability to frame causal questions and differentiate prediction from causal impact.

• Experience in defining KPI frameworks for product workflows.

• Demonstrated ability to influence launch or roadmap decisions with quantified impacts and clear personal accountability.

• Experience in identifying retention drivers and assessing which users benefited and if gains were sustained.

• Experience in applying predictive models to segment users or guide lifecycle interventions.

• Strong expertise in SQL and at least one programming language, preferably Python.

• Familiarity with large-scale data systems such as Snowflake, dbt, Airflow, or Spark.

• Ability to communicate assumptions and uncertainties clearly.

• Valid work authorization.

• Preferred: experience in product analytics within a consumer app or digital product.

• Preferred: experience in evaluating incentives, lifecycle interventions, or personalization.

• Preferred: experience in validating targeted treatments.

• Preferred: proven record of sharing reusable analyses and knowledge.

🏝️ Benefits

• Equity for full-time employees.

• 401(k) with dollar-for-dollar matching up to 4% of eligible pay.

• Comprehensive medical, dental, and vision plans, including pet coverage.

• $10,000 per year in education reimbursement.

• Participation in Employee Resource Groups and Inclusion Council.

• Flexible PTO.

• 9 paid holidays (holidays vary for Canada-based roles).

• Year-end week-long break.

• 14 weeks of fully paid parental leave.

• 6 additional weeks of paid childbirth recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members.

• Flexible work environment.

• Hardware and software provided for remote work.