Senior Data Scientist I, Growth & Engagement

This is a fully remote position, open to applicants in United States.

📋 Description

• Conceptualize, implement, and analyze product experiments aimed at feature development, encompassing power analysis, primary metrics, and guardrails.

• Formulate causal inquiries by establishing populations, outcomes, and durations.

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

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

• Transform vague product questions into organized analyses and correlate metric changes to behavioral influences.

• Leverage product analytics to gain insights into user journeys, retention factors, and downstream results.

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

• Create predictive models for lifecycle intervention systems and collaborate with Engineering to embed predictive signals.

• Utilize audience segments and predictive signals to customize treatments and validate enhancements in retention, monthly active users, and revenue.

• Craft narratives that translate insights into product actions and shape priorities and launch strategies.

• Generate reusable analyses and disseminate analytical expertise throughout the team.

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

⛳️ Requirements

• Over 5 years of experience in data science, machine learning, or applied analytics, with a focus on complex analytical challenges in product-centric settings.

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

• Demonstrated ability to utilize experiment results to advise on launching, iterating, or halting initiatives.

• Skill in framing causal inquiries and differentiating between prediction and causal impact.

• Experience in defining KPI frameworks for a product workstream.

• Proven track record of influencing launch or roadmap decisions with measurable impact and clear personal accountability.

• Experience in identifying retention drivers and assessing user benefits and the sustainability of gains.

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

• Strong command of SQL and at least one programming language, ideally Python.

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

• Ability to articulate assumptions and uncertainties transparently.

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

• Preferred: background in assessing incentives, lifecycle interventions, or personalization strategies.

• Preferred: experience in validating targeted treatments.

• Preferred: history of sharing reusable analyses and knowledge.

🏝️ Benefits

• Equity: We provide full-time employees with equity in Fetch, enabling everyone to share in Fetch's growth.

• 401(k): Fetch matches your contributions dollar for dollar, up to 4% of your eligible earnings.

• Benefits for humans and pets: extensive medical, dental, and vision plans, including coverage for pets.

• Continuing Education: $10,000 annually in education reimbursement.

• Employee Resource Groups focused on promoting a diverse and inclusive workplace through events, discussions, and advocacy.

• Paid Time Off: flexible PTO, nine paid holidays, and a week-long break at year-end.

• 14 weeks of fully paid parental leave for all employees, along with an additional six weeks of paid recovery leave for birthing parents and a flexible return-to-work schedule.

• A one-time $2,000 Calvin Care Cash incentive for employees who welcome new family members.

• Flexible work environment allowing remote work from anywhere in the US for US-based positions.

• Hardware and software provided for remote work.