- Salary
- $160k – $188k/yr
- Location
- United States
- Workplace
- Remote
- Type
- Full-time
- Department
- Marketing
- Seniority
- Senior
- Experience
- 5+ years
- Visa
- Not sponsored
- Closing date
- Today
Description
- 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 clear 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
- 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
Compensation:
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
- Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
- Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)