Product Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Data Scientist (AI/Consumer SaaS): Building the analytical framework for a voice dictation platform with an accent on growth modeling, user behavior analysis, and instrumentation. Focus on designing end-to-end A/B experiments and developing core metrics for activation and retention in a PLG environment.
Location: On-site in San Francisco. Relocation bonus available.
Salary: $175K – $195K + Equity
Company
is an AI-driven voice dictation platform building an agentic framework to make human-computer interaction as effortless as talking to a friend.
What you will do
- Build and own core growth metrics including activation, retention, engagement, and conversion for a cross-platform consumer product.
- Analyze usage cohorts and feature adoption signals to surface actionable product insights.
- Partner with product managers and engineers to define and answer questions that drive product strategy.
- Execute end-to-end A/B experiments from hypothesis formation to causal interpretation and recommendations.
- Collaborate with analytics engineers using dbt and ClickHouse to ensure clean and consistent data models.
Requirements
- 5+ years of experience in data science or quantitative analytics, specifically within consumer SaaS or consumer tech.
- Proven expertise in experimentation, including the ability to build frameworks for scalable product testing.
- Strong SQL skills and fluency with modern data stacks such as dbt, ClickHouse, or Snowflake.
- Proficiency in Python for data analysis and modeling.
- Experience being embedded within product teams and delivering actionable analysis in ambiguous situations.
- Ability to communicate complex analytical findings clearly to non-technical stakeholders.
Culture & Benefits
- Generous equity grant.
- 401k matching.
- Comprehensive health, vision, and dental insurance.
- Relocation bonus for eligible candidates.
- High-agency environment that values open communication, truth-seeking, and obsession over user experience.
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