
Data Scientist II, Fraud & Risk at Socure (San Francisco, CA)
Socure· San Francisco, CA· $140k–$170k·
Role details
Socure at a glance
AI-powered platform for digital identity verification, fraud prevention, and risk decisioning, used by enterprises and government agencies to verify consumers, businesses, and employees.
Socure runs RiskOS, a single AI-native decisioning platform that verifies identities and scores fraud, risk and compliance across the customer journey (onboarding, login, payments, account changes). It combines a large identity graph with fraud, biometric, device and behavioral signals so customers can approve more legitimate users while blocking fraud in real time.
$650M raised · latest: Series E · $450M · 2021 · backed by Accel, T. Rowe Price, Tiger Global, Bain Capital Ventures
Job description
Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
Role Overview
We are seeking a skilled and motivated Data Scientist II to join our Fraud & Risk Data Science team. As an individual contributor, you will have autonomy in your day-to-day work and play an important role in driving functional productivity and project success. You will work hands-on with advanced deep learning models, collaborating with colleagues to deliver impactful solutions for fraud detection, risk management, and identity verification. This position provides the opportunity to contribute to diverse projects and collaborate within a supportive, high-performing team.
Key Responsibilities
- Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, to address complex fraud and risk challenges.
- Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images.
- Take ownership of assigned tasks, executing technical and functional activities to support project goals with minimal supervision.
- Participate in all stages of the machine learning lifecycle: data exploration, feature engineering, model training, evaluation, and deployment.
- Collaborate effectively across teams, sharing knowledge and learning from diverse perspectives to drive results.
- Make routine technical decisions and contribute to functional objectives through productive and proactive engagement.
- Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems.
- Communicate results and insights clearly to both technical and non-technical audiences.
Qualifications
- Bachelor’s degree with substantial related experience, Master’s degree with relevant experience, or equivalent work background in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 2-4 years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs, and LSTMs).
- Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images.
- Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
- Foundational understanding of machine learning algorithms, model evaluation techniques, and data pipeline development.
- Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
- Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus.
- Strong problem-solving skills, with the ability to work independently on straightforward tasks and contribute effectively to project objectives.
- Demonstrated ability to collaborate in a diverse, cross-functional team environment.
- Excellent written and verbal communication skills.
- Experience in fraud prevention, risk modeling, or identity verification is a plus.
Why Socure?
- Join a mission-driven company at the forefront of identity verification and fraud prevention.
- Work on impactful, challenging problems using cutting-edge technology.
- Collaborate with talented colleagues in an inclusive, innovative culture.
- Competitive compensation, equity, and benefits.
- Opportunities for professional growth and skill development.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Why work at Socure
- Remote-First Culture: Socure is a remote-first company with talent hubs in San Francisco, Seattle, New York, Washington DC, Miami, London, Chennai, Bangalore, and Hyderabad. Employees have flexibility and autonomy.
- High-Impact Work: The company tackles hard problems in digital identity and fraud, which are central to trust in the digital world. The culture emphasizes high performance and purpose.
- Benefits:
- Market-competitive base salary and performance bonuses.
- Equity for all full-time employees.
- Comprehensive medical, dental, and vision insurance.
- Mental health support.
- 401(k) with company match.
- Flexible PTO and generous paid parental leave.
- Professional development stipend.
- Work-from-home stipend and Deskpass access for coworking.
- Hackathons to fuel innovation.
- Growth & Development: Internal mobility and career pathing opportunities, access to the latest technology.
- Team Size: Approximately 386 total employees (per Built In), with 100 open positions signaling strong growth.