Senior Product Data Scientist - Growth & Experiments

Robinhood

Menlo Park (CA)

Vor Ort

USD 179.000 - 210.000

Vollzeit

vor 3 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health insurance
Equity ownership
401(k) matching
Paid time off

Zusammenfassung

Robinhood is seeking a data scientist to join its Growth team in Menlo Park, focusing on Gold subscriptions. You will design experiments, analyze user behavior, and help shape product strategy with data-driven insights.

You’ll partner with Product, Marketing, and Finance to prioritize initiatives, measure impact, and drive measurable value. The role demands 5+ years in data science or analytics and strong SQL/Python skills, plus experience with experimentation and data visualization.

Qualifikationen

  • 5+ years of experience in data science or analytics.
  • Experience as a Product Data Scientist or in a similar role.
  • Strong proficiency in SQL and Python for data analysis.
  • Experience designing experiments and interpreting results to guide product decisions.
  • Experience with data visualization tools and techniques.

Aufgaben

  • Support the Growth org, focusing on Gold subscriptions.
  • Design and analyze experiments to test new features, offers, and campaign strategies.
  • Analyze customer behavior and identify new opportunities to grow Gold through improved targeting, retention, and messaging.
  • Collaborate with Product, Marketing, and Finance to prioritize initiatives and measure impact clearly.

Kenntnisse

SQL
Python
Experiment design
Data visualization
Cross-functional collaboration
Subscription model experience

Tools

SQL
Python

Jobbeschreibung

Robinhood is seeking a data scientist to join its Growth team in Menlo Park, focusing on Gold subscriptions. You will design experiments, analyze user behavior, and help shape product strategy with data-driven insights.

You’ll partner with Product, Marketing, and Finance to prioritize initiatives, measure impact, and drive measurable value. The role demands 5+ years in data science or analytics and strong SQL/Python skills, plus experience with experimentation and data visualization.

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