--- title: 'Senior Data Scientist - Digital Intelligence, Device Signals at Socure' canonical: 'https://feeny.ai/job/senior-data-scientist-digital-intelligence-device-signals-socure-san-francisco-q48p4adcg9tk' type: 'job' last_seen: '2026-11-05' --- # Senior Data Scientist - Digital Intelligence, Device Signals at Socure - **Company:** [Socure](https://feeny.ai/companies/socure) - **Location:** San Francisco, CA - **Compensation:** $150k–$185k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-01 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.ashbyhq.com/socure/819e4f69-3262-4a51-9237-ce93af394840/application **Skills:** Python, SQL, Machine Learning, Spark, PySpark, scikit-learn, XGBoost, TensorFlow, Data Modeling, Streaming Data, Experimental Design, A/B Testing, Statistical Methods, Fraud Detection, Behavioral Biometrics, Anomaly Detection, Adversarial Modeling, High-Cardinality Feature Engineering, Embeddings, Privacy-Preserving ML > Drive the development of machine learning features and models for device identification, anomaly detection, and fraud prevention. Work with high-volume data from browser, mobile, and API traffic to surface insights and scalable risk signals while collaborating cross-functionally. ## 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. ## About the Role Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. We are seeking a Senior Data Scientist to join our Digital Intelligence team. In this role, you will drive the development of machine learning features and models that leverage device, network, and behavioral data to power fraud prevention and identity verification. You’ll work with rich, high-volume data from browser, mobile, and API traffic to surface meaningful insights and scalable risk signals. This is a great opportunity to own impactful projects, collaborate cross-functionally, and deepen your expertise in applied ML for device and behavioral intelligence. ## What You'll Do - Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics. - Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data). - Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse. - Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques. - Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning. - Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust. - Contribute to team standards for ML explainability, risk evaluation, and feature logging. - Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences. - Mentor junior data scientists and participate in cross-functional working groups. ## What You Bring - Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field. - 6+ years of experience in data science or applied machine learning, including experience working in production environments. - Excellent SQL skills and extensive experience with large-scale databases and data modeling. - Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data. - Proficiency in Python and distributed computing tools (e.g., Spark, PySpark). - Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar. - Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership. - Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness. - Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies. - Strong judgment across data quality, model selection, and business impact tradeoffs. - Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams. ## Preferred Qualifications - Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling. - Experience with high-cardinality feature engineering techniques (e.g., frequency/target encoding, embeddings). - Familiarity with privacy-preserving or robust ML techniques. - Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing. ## What You’ll Gain - Hands-on experience with real-world data science challenges in a high-impact industry. - A collaborative and inclusive work environment that fosters learning and growth. - Opportunities to grow into staff-level or technical leadership roles over time. 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. Follow Us! [YouTube](https://www.youtube.com/c/Socure) | [LinkedIn](https://www.linkedin.com/company/socure/) | https://x.com/socureme | [Facebook](https://www.facebook.com/socure/) ## About Socure ## Company Overview - **One-liner**: Socure provides an AI-powered platform for digital identity verification, fraud prevention, and risk decisioning, used by enterprises and government agencies to verify consumers, businesses, and employees. - **Entity Type**: Private (Series E) - **Headquarters**: Incline Village, Nevada, USA - **Founded**: 2012 - **Founders**: Johnny Ayers (CEO) ## Core Business - **Primary industry/industries**: Digital Identity Verification, Fraud Prevention, Risk Decisioning, RegTech - **Target customers**: B2B — primarily Enterprise and Government. Serves financial services (18 of top 20 banks), government agencies (13 U.S. states, 2 federal agencies), gaming/sportsbooks, healthcare, telecom, e-commerce, marketplaces, and fintechs. - **Mission or purpose**: To verify 100% of good identities and eliminate identity fraud. ## Products & Services - **RiskOS®**: The company’s core AI platform for identity and risk decisioning. It is a fully vertically integrated platform that allows customers to design, test, and deploy identity, risk, compliance, age assurance, and authentication workflows across the entire customer journey. - **Predictive Risk Score Solution**: A risk scoring solution that provides real-time fraud protection and decisioning. - **Effectiv (Acquired)**: An end-to-end identity fraud and payment risk management solution that adds transaction monitoring, credit underwriting, and Know-Your-Business (KYB) capabilities to the Socure platform. - **FedRAMP Authorized Solution**: A version of the platform authorized for use by U.S. federal government agencies. ## Market Standing - **Valuation/Market Cap**: Not publicly available (Private company). - **Key Metric**: Serves over 3,000 customers. The company has access to an identity graph of hundreds of billions of records and over 40 billion historical known outcomes. - **Notable Investors/Partners**: Investors are not explicitly listed on the provided sources, but the customer base includes Capital One, Citi, Chime, SoFi, Lili, Green Dot, Robinhood, Dave, Gusto, Poshmark, Uber, DraftKings, PrizePicks, and the State of California. - **Growth Signals**: - Achieved **FedRAMP Authorization** in April 2025, a significant milestone for selling to U.S. federal government agencies. - Acquired **Effectiv** to expand into payment risk management and credit underwriting. - Customer base includes 18 of the top 20 banks and 500+ fintechs. - Over 130 public sector organizations as customers. - Listed 100 open positions across the company. ## Competitive Advantages - **Vertically Integrated Platform**: Socure claims to be the industry’s only fully vertically integrated identity and risk platform, which it says delivers unparalleled auto-approval and fraud capture rates. - **Massive Data Graph**: Its identity graph of hundreds of billions of records and 40 billion historical outcomes provides a deep data moat that is difficult for competitors to replicate. - **Breadth of Use Cases**: The platform supports virtually any industry and use case, from workforce verification to prediction markets, making it a versatile partner. - **Government Authorization**: FedRAMP authorization gives it a unique and defensible position in the public sector market. ## Strategic Focus - **Government Expansion**: With the recent FedRAMP authorization, a major focus is expanding into federal and state government programs. - **Platform Expansion**: Integrating the Effectiv acquisition to offer a more comprehensive suite covering identity, payments, and credit risk. - **AI Innovation**: Continuing to leverage AI on "offense" to keep pace with the fast-moving AI threat landscape (deepfakes, synthetic identity fraud). ## Why Work Here - **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. ## Sources 1. [socure.com](https://www.socure.com/) 2. [socure.com](https://www.socure.com/company/careers) 3. [socure.com](https://www.socure.com/company) 4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/socure?source_page=%2Fcompany%2Fcareers) 5. 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