As Lead Data Scientist, you will establish the technical foundation for machine learning at a high-growth fintech infrastructure platform. You’ll own the end-to-end ML lifecycle—from feature engineering on proprietary identity data to shipping production fraud and risk models. Your work directly impacts customer onboarding and security for major financial institutions.
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Lead Data Scientist at VC-backed fintech infrastructure platform
Join a leading VC-backed fintech platform as a Lead Data Scientist to build the ML foundation from the ground up. You’ll own the end-to-end lifecycle for fraud and risk models, tackling complex challenges like extreme class imbalance and entity resolution. With no hand-offs to engineering for core modeling, you’ll have a direct impact on the security infrastructure used by major financial institutions. This is a high-impact senior IC role for someone who wants to shape the technical direction of a fast-growing scale-up and solve real-world identity verification problems at scale.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
VC-backed fintech infrastructure platform
What you will do
- Build and ship production-grade machine learning models for fraud detection, risk assessment, and KYB/KYC compliance.
- Design and implement scalable ML infrastructure, including feature stores, automated training pipelines, and model monitoring systems.
- Set the technical direction for the data science organization as a senior individual contributor and mentor to the team.
Who this is a fit for
- 7+ years of experience shipping production ML models specifically within fraud, risk, trust & safety, or compliance domains.
- Proven track record building ML infrastructure and working with imbalanced data, sparse signals, and adversarial patterns.
- Technical expertise in entity resolution, knowledge graph applications, or modern graph embedding techniques.
Why this role is remarkable
- Own the full ML stack for fraud and risk detection, with direct influence on production models and customer onboarding.
- Work at a high-growth scale-up backed by top-tier VCs and recognized as a leading innovator in the fintech space.
- Tackle sophisticated technical challenges involving extreme class imbalance, sparse signals, and advanced entity resolution using knowledge graphs.
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