Senior Data Scientist, Robinhood
Computer Vision
$187-220k
+ Equity
Office located in Menlo Park, CA
Commission-free stock trading platform
Be an early applicant
Commission-free stock trading platform
1001+ employees
Be an early applicant
$187-220k
+ Equity
Office located in Menlo Park, CA
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future
- If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply
- The ideal candidate will be deeply passionate about addressing emerging challenges in fraud detection, such as combating Deepfakes and AI-generated images, and will thrive in a fast-paced, growth-oriented environment
- Proven expertise in computer vision, with a strong portfolio of successful implementations
- Advanced degree in a quantitative field such as computer science, engineering, mathematics, or a related field
- Proficiency in programming languages such as Python (numpy, scipy, pandas) or R. or equivalent experience
- Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
- Strong analytical skills and a passion for solving complex problems
- Excellent communication skills to convey data-driven insights to diverse collaborators
- An approach that fosters collaboration and the ability to work effectively in a fast-paced environment
- 4+ years of professional experience as a Data Scientist
- Demonstrated experience in a research setting, either academic or commercial
- A true passion for our mission and a dedication to continuous learning and innovation
What the job involves
- We are seeking a skilled computer vision specialist to play a pivotal role in developing a robust ID/selfie verification system designed to detect fraud and improve the customer experience
- This position is essential to our business, ensuring the security and trust of our platform
- Develop and deploy brand-new computer vision models to improve product functionalities and user experiences
- You will be responsible for designing and implementing innovative solutions to mitigate evolving fraud risks while contributing to the overall success of our mission to protect customers
- Design and implement machine learning systems to address various challenges and opportunities within the financial sector
- Collaborate with cross-functional teams to deliver impactful data-driven solutions
- Build and refine production-grade models using large-scale datasets, employing statistical modeling, machine learning, and data mining techniques
- Drive innovation by combining knowledge from several research domains to solve sophisticated problems
- Collaborate with marketing, product, and design teams to cultivate user engagement and business development
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
Few 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.
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