Gemini · 15 hours ago
Staff Data Scientist, Machine Learning (Risk)
New York, NY
Full-time
Hybrid
Lead/Staff
$168K/yr - $240K/yr
8+ years expGemini is a global crypto and Web3 platform that aims to unlock the next era of financial freedom. The Staff Data Scientist will focus on machine learning for risk, working cross-functionally to design and deploy models that detect and prevent fraud across the platform.
CryptocurrencyFinanceFinancial ServicesFinTechWeb3
Responsibilities
Analyze large, complex datasets to identify key fraud indicators and engineer predictive features using internal and external data sources
Design, train, and deploy machine learning models to identify and prevent fraud, including payment fraud, account takeovers, and identity abuse
Build and maintain end-to-end data and model pipelines for risk scoring, anomaly detection, and behavioral profiling
Evaluate model performance through experiments, backtesting, and continuous monitoring to improve capture rates and reduce false positives
Partner with product managers, engineers, and fraud operations to translate model outputs into effective prevention strategies and user-facing features
Communicate findings and recommendations to technical and non-technical audiences, influencing strategy and prioritization
Stay current on emerging fraud tactics and machine learning approaches to continually evolve Gemini’s defenses
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
8+ years of experience (5+ years with PhD) applying data science and machine learning to financial, payments, or fraud-related problems
3+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications
Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL
Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar
Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark)
Demonstrated ability to work cross-functionally with product, engineering, and operations teams
Excellent communication skills and the ability to translate complex technical concepts into actionable insights
Preferred
Master's degree or equivalent experience in a quantitative field
Experience with fraud modelling, risk scoring, or anomaly detection in fintech, banking, or crypto
Familiarity with blockchain data and on-chain analytics for detecting illicit activity
Understanding of model governance, interpretability, and fairness in regulated financial contexts
Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team
Benefits
Competitive starting salary
A discretionary annual bonus
Long-term incentive in the form of a new hire equity grant
Comprehensive health plans
401K with company matching
Paid Parental Leave
Flexible time off
Company
Gemini
Gemini is a licensed digital asset exchange and custodian built for both individuals and institutions.
501-1000 employees
H1B Sponsorship
Gemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
Funding
Current Stage
Public CompanyTotal Funding
$499.9MKey Investors
RippleDraper DragonMorgan Creek Digital
2025-09-12IPO
2025-07-10Debt Financing· $75M
2022-06-20Secondary Market· $1M
Leadership Team
Tyler Winklevoss
Co-Founder & CEO
Cameron Winklevoss
Co-founder & President
Recent News
2025-12-26
2025-12-26
Company data provided by crunchbase