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1 день назад

Senior Product Data Scientist (SaaS)

170 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Product Data Scientist (SaaS): Building the foundations of product data science by analyzing user behavior, defining product metrics, and measuring experimentation outcomes across Scribe's self-serve product with an accent on statistics, experimentation, and actionable product insights. Focus on designing A/B tests, creating reproducible datasets and dashboards, developing semantic infrastructure for natural language agents, and mentoring data teammates.

Location: San Francisco, United States; hybrid workplace

Salary: $170K–$220K per year, plus equity

Company

hirify.global provides a Specialized Intelligence platform that captures how work happens and turns it into a living asset for people and AI agents.

What you will do

  • Partner with product, design, and engineering teams to analyze user behavior, engagement, retention, and long-term product trends.
  • Own experimentation by designing and analyzing experiments and promoting rigorous experimentation practices.
  • Develop and test hypotheses using data to guide product decisions.
  • Define and monitor product metrics, KPIs, dashboards, and datasets that unlock business opportunities.
  • Build reproducible analytical practices, improved processes, and tooling for product data science.
  • Mentor data team members on statistics, experimentation, and analytical best practices.

Requirements

  • 8+ years of experience as a data scientist or data analyst, including significant experience partnering with product teams.
  • Strong knowledge of statistics and experimental design, with hands-on A/B testing experience and sound decision-making when experiments are not possible.
  • Strong proficiency with Snowflake, Sigma, Mixpanel, dbt Cloud, and Looker; expert SQL and fluency in Python or R.
  • Ability to combine quantitative data with qualitative insights and communicate findings through strong writing and visualizations.
  • Ownership-oriented, proactive approach, including willingness to work across instrumentation and analysis.
  • Experience building technical and semantic infrastructure for internal natural language agents and agentic automation.

Nice to have

  • Experience in high-paced Enterprise SaaS startups with a strong self-serve motion.
  • Experience as the first or founding data scientist on a product team.
  • Experience using AI tooling to significantly improve product decision-making.
  • Experience deploying machine learning models in production.
  • Experience mentoring analysts or data scientists.

Culture & Benefits

  • Hybrid work in San Francisco with healthcare, dental, and vision coverage, including two $0/month medical plan options.
  • Equity participation and a 401(k) plan through Vestwell.
  • $500 per year for home office equipment, productivity tools, learning and development, or fitness and wellness.
  • $100 per month in commuter benefits for San Francisco-based employees.
  • Flexible paid time off, company holidays, paid parental leave, Talkspace membership, One Medical access where available, and Kindbody family-planning discounts.

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