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职位Robinhood

Staff Data Scientist, Product (Crypto)

Robinhood

Staff Data Scientist, Product (Crypto)

Robinhood

Menlo Park, CA; New York, NY

·

On-site

·

Full-time

·

1w ago

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Crypto team’s mission is to build the next global financial ecosystem using blockchain technology, enabling scalable and accessible onchain financial products. This team plays a central role in advancing Robinhood’s focus on crypto and international expansion by developing products that expand access to decentralized finance.

As a Staff Data Scientist, you will lead analytical efforts supporting the launch and growth of Robinhood Mainnet, helping bring onchain financial solutions to a global audience! You’ll be at the forefront of shaping Robinhood’s crypto strategy using data, partnering closely with product, engineering, finance, and research to launch and optimize features such as perpetuals, international trading, and wallet experiences. Your work will guide product decisions through well-designed experiments and robust analysis, helping millions of customers engage more deeply with the crypto ecosystem. Learn more about what the crypto team is up to here.

This role is based in our Menlo Park, CA and New York, NY office(s), with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

  • Partner with product managers to identify opportunities within onchain finance, including De Fi, perpetuals, and tokenized equities
  • Design and evaluate experiments to inform product decisions, using clear success metrics tied to business outcomes
  • Analyze onchain data and build datasets to support smart contract indexing and product insights
  • Develop models to assess De Fi protocols, lending mechanisms, and market behavior
  • Communicate findings to stakeholders including engineering, finance, and design teams to support product development

What you bring

  • You have 7+ years of experience in data science, analytics, or a related field
  • You have strong proficiency in SQL and Python for data analysis and modeling
  • You have experience designing experiments and interpreting results to guide product decisions
  • You have domain knowledge in crypto, including onchain data and De Fi ecosystems
  • You communicate clearly with both technical and non-technical partners

What we offer

  • Challenging, high-impact work to grow your career.
  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
  • Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
  • Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$202,000—$238,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$178,000—$209,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$158,000—$186,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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关于Robinhood

Robinhood

Robinhood

Public

Democratizing finance for all.

1,001-5,000

员工数

Menlo Park

总部位置

$32B

企业估值

评价

3.7

10条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

4.1

职业发展

3.3

管理层

3.0

65%

推荐给朋友

优点

Great team culture and collaborative environment

Flexible hours and good work-life balance

Innovative projects and cutting-edge technology

缺点

Management issues and lack of direction

High pressure and stressful work environment

Long hours and overwhelming workload

薪资范围

40个数据点

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L1

0份报告

$147,000

年薪总额

基本工资

-

股票

-

奖金

-

$124,950

$169,050

面试经验

4次面试

难度

3.5

/ 5

时长

21-35周

体验

正面 0%

中性 50%

负面 50%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience