aipythonsqlsnowflakestatisticsdbtmachine learninga b testingproduct analyticsexperimental design
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$170к-220к/год
$140к$170кмедиана$200к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.7к/мес ($3к - $8.3к)
90
Крутая вакансия
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Это чётко очерченная и заметная роль первого специалиста по продуктовым данным в быстрорастущей AI SaaS-компании, с высокой самостоятельностью и широким практическим охватом.
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Широкая зона ответственностиСовременный стек данныхРост в AI SaaSПервый специалист
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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