Senior Data Scientist, Robinhood
Product Analytics, Brokerage
$161.5-190k
+ Equity
Commission-free stock trading platform
Open for applications
Commission-free stock trading platform
1001+ employees
Open for applications
$161.5-190k
+ Equity
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering, computer science, etc
- 5+ years of demonstrated experience working in product analytics or data science
- Track record of initiating, and executing large / complex deep dive projects
- Track record of developing data insights that generates business impact
- Solid understanding of statistics. Practical experience in AB testing and causal inferenc
- Solid understanding of ML algorithms. Practical experience in applying ML to uncover valuable insights, to improve user experience and product performance
- Expert level SQL, Python skills
- Excellent data visualization skills and data storytelling skills
- Experience in product data science in a dynamic, innovative, and fast-paced high tech environment
What the job involves
- Insights from data power many decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by this exceptional data science team
- As a senior product data scientist, you will play a critical role in optimizing and enhancing the product’s performance by harnessing data and analytics to drive informed decision-making and innovations
- Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team
- As a member of this cross-functional group, you will collaborate closely with partners in product, engineering, user research, design, marketing, finance and compliance to unlock the potential of our data and shape the future of the brokerage products
- Initiate and execute large analysis projects to deepen understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive impact for our business
- Develop and maintain machine learning models and statistical models to enhance the product’s performance and user experience
- Design, plan, execute and analyze experiments to evaluate the impact of product changes. Develop experiment design and experiment analysis frameworks
- Define metrics system to measure product performance. Build dashboards and reports to understand and monitor these metrics. Iteratively improve the metrics and the dashboard system
- Create data visualizations and reports, synthesize data insights to compelling stories, to effectively communicate them to cross-function partners, stakeholders, and senior executives
- Design, develop and maintain data pipelines with outstanding craftsmanship
- Mentor others as needed to uplift the team’s capacity, and to democratize data knowledge and data insights within the company
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Its innovative model thrives on premium features like increased buying power and extended trading hours, attracting a younger audience drawn to meme stocks like AMC and GameStop.
But Robinhood's not just about quick thrills. The company claims its mission lies in catering to "the unmet needs of the next generation," evidenced by its "Robinhood Retirement" launch, targeting gig-economy workers often excluded from financial planning. This commitment to accessibility aligns with its core values.
However, 2023 brought unexpected turbulence, as Robinhood became entangled in the FTX cryptocurrency exchange bankruptcy scandal when it emerged that the US Department of Justice seized hundreds of millions of dollars of the company's shares tied to FTX founder Bankman-Fried. Despite these challenges, Robinhood successfully bought back the missing stock, and its impact on democratizing finance remains undeniable.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
39% female employees
-23% employee growth in 12 months
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company benefits
- Well-being - Premium medical, dental, and vision insurance
- Family & home life - Parental leave, personal prosperity benefits
- Comfort & care - Annual lifestyle stipend
- Office life - Catered meals and fully stocked kitchen, commuter benefits
- Growth - Education and training, community events, career mentorships
Company values
- Safety First: Robinhood is a safety-first company
- Participation is Power: At Robinhood, the rich don’t get a better deal
- Radical Customer Focus: We exist to make our customers happy
- First-Principles Thinking: We make bold bets and challenge the status quo
Company HQ
Downtown Menlo Park, Menlo Park, CA
Articles
Leadership
Vlad Tenev
(Co-Founder)Studied Mathematics at Stanford University, where they met their fellow co-founder. Dropped out of a PhD to start Robinhood.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their fellow co-founder.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 76 more jobs at Robinhood