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3 часа назад

Principal Data Scientist, Workforce Solutions (GBSG)

247 500 - 335 000$
Формат работы
onsite
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
Principal Data Scientist, Workforce Solutions (GBSG) (Fintech): Setting the data science strategy for Workforce Solutions and shaping payroll, time, benefits, and contractor payments growth with an accent on causal inference, experimentation, and metric systems. Focus on designing high-stakes tests, building customer and business performance narratives, and directing product and go-to-market decisions through advanced analytics.

Location: Mountain View, California or San Diego, California, United States

Base pay: $247,500–$335,000 in Mountain View or $241,000–$326,500 in San Diego, annually. The position may also include a cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform operating products including QuickBooks, TurboTax, Credit Karma, and Mailchimp.

What you will do

  • Set the end-to-end data science strategy for Workforce Solutions across payroll, time, benefits, and contractor payments.
  • Analyze customer behavior to drive attach, activation, retention, payroll usage, time tracking, and benefits adoption.
  • Design and evaluate high-stakes experiments and apply causal methods when controlled experiments are not possible.
  • Define the canonical metric system for attach, seat growth, engagement, retention, and portfolio performance.
  • Build customer segment insights, business performance narratives, and prioritized product and go-to-market bets.
  • Own data architecture and instrumentation, mentor senior and staff data scientists, and establish technical standards.

Requirements

  • 10+ years of experience in data science or analytics with business-unit strategy and outcome ownership.
  • Deep expertise in experimental design, causal inference, quasi-experimental methods, synthetic control, difference-in-differences, and uplift modeling.
  • Experience influencing product and growth roadmaps and communicating data narratives to Director, VP, and SVP-level leaders.
  • Advanced SQL and Python skills, including instrumentation, pipeline and ETL construction, and work with large multi-source enterprise data.
  • Experience with subscription growth, unit economics, product-led growth, mentoring, and technical standards.
  • Bachelor’s or master’s degree in a quantitative discipline or equivalent work experience; an advanced degree is preferred.

Nice to have

  • Experience in payroll, HR technology, fintech, or another compliance-heavy domain.
  • Experience building and shipping AI agent systems.

Culture & Benefits

  • Cross-functional partnership with Product, Product Marketing, Design, Engineering, and Finance leaders.
  • Principal-level individual contributor role with broad organizational influence and no formal people-management responsibility.
  • Competitive pay-for-performance compensation approach.
  • Potential cash bonus, equity rewards, and employee benefits.

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