Назад
9 дней назад

Manager of Data Science, Finance & Strategy (AI)

202 000 - 238 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager of Data Science, Finance & Strategy (AI) (Data Science/AI): Leading a team that develops strategic analytics, measurement frameworks, forecasting, and AI-powered solutions for finance and business performance with an accent on people leadership, experimentation, and scalable analytics engineering. Focus on leading Robinhood's NPS and survey programs, building agentic analytics infrastructure, and translating complex business questions into predictive insights and executive decisions.

Location: Menlo Park, California, with in-person attendance required 5 days per week

Base pay: $202,000–$238,000 in Zone 1; $178,000–$209,000 in Zone 2; $158,000–$214,000 in Zone 3, plus bonus opportunities, equity, and benefits.

Company

Robinhood is a financial technology company building products and analytics to democratize finance.

What you will do

  • Lead, mentor, and develop a team of data scientists and analytics engineers while remaining hands-on in technical work.
  • Set the team's technical direction, priorities, standards, and culture of experimentation and accountability.
  • Lead the NPS program, including survey design, sampling, weighting, driver analysis, verbatim analysis, and executive reporting.
  • Oversee survey and research programs covering safety perception, brand and product sentiment, benchmarking, and trend tracking.
  • Build agentic workflows and shared infrastructure for analysis, pipelines, quality assurance, and recurring reporting.
  • Partner with Finance, Product, Engineering, Operations, and senior leaders to deliver scalable analytics and AI-powered decision support.

Requirements

  • 7+ years of experience in data science, analytics, or a related field.
  • 2+ years of people management experience and experience developing high-performing data science or analytics engineering teams.
  • Strong expertise in SQL, Python, statistical analysis, experimentation, and advanced analytics.
  • Experience with measurement frameworks, predictive models, benchmarking, and strategic analysis.
  • Ability to translate complex business questions into rigorous analyses, actionable insights, and scalable data solutions.
  • Strong business judgment, communication, and cross-functional collaboration skills.

Culture & Benefits

  • In-person office environment focused on collaboration, innovation, and community.
  • 100% paid health insurance for employees and 90% coverage for dependents.
  • Annual lifestyle wallet for wellness, learning, and development.
  • Family-forming and fertility benefits, plus mental health support.
  • Paid holidays, paid time off, sick time, and parental leave.
  • Catered meals, stocked kitchens, and location-specific commuter benefits.

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