Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically - backed natural bone - loss solution. Transforming data into strategies that improve efficiency, sales, and profitability.
About the role
- Senior Data Scientist using experiments and predictive models to improve retention and engagement at Fetch. Shaping lifecycle interventions and product decisions for its rewards and advertising platform.
Responsibilities
- Independently design, execute, and interpret product experiments for feature development, including power analysis, primary metrics, and guardrails
- Frame causal questions by defining populations, outcomes, and time horizons
- Define KPI frameworks linking product objectives to primary, secondary, and guardrail metrics
- Recommend launch, iterate, or stop based on effect size, uncertainty, user value, and business impact
- Turn ambiguous product questions into structured, credible analysis
- Connect metric movements to behavioral drivers and assess alternative explanations
- Use product analytics to understand user journeys and retention drivers
- Evaluate effects across user segments and distinguish novelty from persistent long-term value
- Develop predictive models for lifecycle intervention systems
- Partner with Engineering to integrate predictive signals into treatment delivery
- Use experiments to determine whether targeting improves retention, monthly active users, and revenue
- Build narratives translating findings into product action and influence priorities and launch decisions
- Produce reusable analyses and share analytical knowledge across the team
- Use Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to build reliable analyses and modeling workflows
- Collaborate with Product, Engineering, and Design to shape KPIs, success criteria, guardrails, and product decisions
Requirements
- 5+ years of experience in data science, machine learning, or applied analytics
- 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 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 inform lifecycle interventions
- Strong proficiency in SQL and at least one programming language, preferably Python
- Experience with large-scale data systems such as Snowflake, dbt, Airflow, or Spark
- Ability to communicate assumptions and uncertainty clearly
- Appropriate work authorization
- Preferred: product analytics experience in a consumer app or digital product
- Preferred: experience evaluating incentives, lifecycle interventions, or personalization
- Preferred: experience validating targeted treatments
- Preferred: track 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
- Employee Resource Groups and Inclusion Council participation
- 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
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