---
title: 'Staff Data Scientist - Digital Intelligence at Socure'
canonical: 'https://feeny.ai/job/staff-data-scientist-digital-intelligence-socure-san-francisco-y12bjc8sq8ym'
type: 'job'
last_seen: '2026-09-10'
---

# Staff Data Scientist - Digital Intelligence at Socure

- **Company:** [Socure](https://feeny.ai/companies/socure)
- **Location:** San Francisco, CA
- **Compensation:** $191k–$230k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/socure/37ee4c0c-2b5b-4fc0-a485-f921c40a7861

## 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.

Job Summary: Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. We are seeking a Staff Data Scientist to join our Digital Intelligence team. In this role, you will provide technical leadership for turning noisy, high-scale device, network, browser, mobile, API, and behavioral telemetry into production-grade fraud and identity risk signals. This is a hands-on technical leadership role. You will lead ambiguous signal-development efforts, define rigorous evaluation methods, influence what telemetry we collect, and help set the technical direction for how Digital Intelligence detects risky behavior, recognizes trustworthy devices and sessions, and adapts to adversarial change. Job Responsibilities:

- Lead high-impact machine learning and feature-development initiatives across device, network, browser, mobile, session, and behavioral intelligence.
- Own ambiguous fraud and identity risk problems where data quality, label reliability, adversarial behavior, customer impact, and product tradeoffs must be evaluated together.
- Develop production risk signals and models that balance fraud detection, false-positive risk, coverage, latency, explainability, robustness, and operational maintainability.
- Build and guide scalable feature-engineering approaches for high-cardinality, sparse, noisy, and platform-dependent telemetry.
- Investigate complex signal patterns such as spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, device fragmentation, and over-linkage risk.
- Define evaluation methods for Digital Intelligence signals, including holdout design, leakage checks, drift monitoring, adversarial robustness, customer impact analysis, and long-term signal stability.
- Influence telemetry collection, data contracts, feature logging, model monitoring, and production readiness in partnership with engineering, product, risk, and platform teams.
- Translate open-ended product, customer, and fraud-risk questions into clear data science approaches, measurable hypotheses, and production-ready signal roadmaps.
- Raise team standards for feature quality, model validation, explainability, documentation, and risk-signal governance.
- Communicate technical recommendations, tradeoffs, limitations, and results clearly to data science peers, engineering partners, product stakeholders, risk teams, and senior leadership.
- Mentor data scientists by improving problem framing, modeling judgment, validation rigor, code quality, and ability to operate independently in ambiguous domains.

Job Requirements:

- Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related quantitative field.
- 12+ years of experience in data science, applied machine learning, statistical modeling, or related technical roles.
- Significant experience building, deploying, validating, and improving production machine learning models, risk signals, or decisioning systems.
- Strong background in fraud detection, identity verification, trust and safety, anomaly detection, cybersecurity, risk modeling, or another adversarial data domain.
- Expert-level SQL skills and extensive experience working with large-scale, complex, noisy datasets.
- Strong proficiency in Python and distributed data processing frameworks such as Spark, PySpark, or equivalent tools.
- Deep understanding of supervised learning, unsupervised learning, anomaly detection, feature engineering, model evaluation, production monitoring, and statistical validation.
- Demonstrated ability to work with imperfect labels, delayed outcomes, telemetry artifacts, instrumentation gaps, and changing fraud patterns.
- Strong judgment across data quality, modeling approach, feature design, explainability, operational complexity, and business impact.
- Experience influencing data architecture, instrumentation, feature logging, and product direction through technical credibility rather than direct authority.
- Excellent communication skills, including the ability to explain complex data science decisions and risk tradeoffs to technical and non-technical audiences.
- Strong mentorship skills and a track record of improving the technical quality and judgment of other data scientists.

Preferred Qualifications:

- Experience with device intelligence, browser/mobile fingerprinting, behavioral biometrics, network intelligence, VPN/proxy detection, entity resolution, or graph-based risk signals.
- Experience designing features from high-cardinality categorical data using techniques such as aggregation, frequency encoding, target encoding, embeddings, graph features, or representation learning.
- Experience with streaming, near-real-time, or low-latency decisioning systems.
- Familiarity with adversarial modeling, robust ML, privacy-preserving ML, interpretable ML, or responsible AI practices.
- Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.
- Experience setting standards for model explainability, feature governance, validation methodology, or production ML observability.

## What You’ll Gain

You will help shape a critical Digital Intelligence capability within Socure’s fraud prevention and identity verification platform, using high-scale device, network, browser, mobile, session, and behavioral telemetry to build risk signals used in real-world production decisions. You will have meaningful ownership over ambiguous, high-impact technical problems, from signal strategy and evaluation design to production rollout and long-term signal quality. This role offers the opportunity to influence telemetry, product direction, and data science standards while mentoring others and deepening Socure’s ability to recognize trusted digital interactions and detect adversarial behavior. 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. [builtin.com](https://builtin.com/company/socure)

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