---
title: 'Data Scientist ll - RiskOS at Socure'
canonical: 'https://feeny.ai/job/data-scientist-ll-riskos-socure-miami-1qqsnpdhtefp'
type: 'job'
last_seen: '2026-11-05'
---

# Data Scientist ll - RiskOS at Socure

- **Company:** [Socure](https://feeny.ai/companies/socure)
- **Location:** Miami, FL
- **Compensation:** $140k–$170k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-17
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/socure/5337e747-bc84-4c2d-8f5e-042cf64bc80e

## 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, leveraging AI and machine learning to power the most accurate decisions. Our mission is to eliminate identity fraud and ensure online trust across industries.

RiskOS is Socure’s AI-powered orchestration and decisioning platform, providing a centralized control plane for identity, fraud, and risk workflows across the customer lifecycle. Workforce Verification is a key RiskOS vertical focused on stopping workforce identity fraud—fake applicants, deepfake interviews, identity rental, and ghost employees—before they reach recruiters, systems, or sensitive data.

As a Data Scientist for Workforce Verification on the RiskOS team, you will own the end-to-end data science lifecycle for a critical new product area focused on workforce identity and hiring fraud. You will explore and analyze rich, multi-source data (identity, device, behavioral, resume and application signals) to uncover fraud patterns in the hiring funnel, then translate those insights into rules, conditions, and machine learning models deployed within RiskOS workflows.

This role sits at the intersection of fraud analytics, natural language processing, and Generative AI. You will help design and evaluate GenAI-powered components such as resume verification agents and explanation tools that operate on unstructured, text-heavy data like resumes, job descriptions, and interview artifacts.

The role is hands-on but not a “solo act”: you will be embedded in the RiskOS Data Science team, with guidance from senior data scientists and close partnership with product, engineering, and Workforce GTM. It is ideal for a data scientist with strong fraud or risk experience who wants broader end-to-end ownership, enjoys working with unstructured text, and is comfortable rolling up their sleeves on data engineering and productionization when needed.

Job Responsibilities:

- Own the full data science lifecycle for Workforce Verification use cases on RiskOS—from data exploration and hypothesis generation through model development, evaluation, deployment, and monitoring.
- Explore and analyze workforce-related data sources (applications, resumes, device and behavioral telemetry, background checks, ATS/HRIS integrations) to identify patterns of workforce fraud such as fake resumes, identity rental, deepfake interviews, and injection attacks.
- Design, implement, and iterate on rules, conditions, and heuristic logic in RiskOS workflows to detect high-risk workforce events (e.g., repeated identities across multiple resumes, suspicious device patterns, anomalous hiring flows).
- Develop and evaluate machine learning models for workforce risk and identity assessment (e.g., scoring applicants for fraud risk, clustering related identities, anomaly detection over hiring funnels), leveraging Socure’s broader identity and device signals where appropriate.
- Collaborate with the RiskOS and Workforce product teams on GenAI-powered features such as the Resume Verification Agent and explanation agents—help define inputs/outputs, build evaluation datasets, and design quantitative and qualitative evaluation frameworks for LLM-based components.
- Partner closely with engineering to productionize models, rulesets, and GenAI components within RiskOS: define interfaces, support integration and testing, and contribute to monitoring, alerting, and feedback loops.
- Work with product, Workforce GTM, and solution consulting to translate model and rule performance into clear, customer-facing narratives (e.g., impact on blocking fake applicants, reducing deepfake interviews, or preventing identity rental in hiring).
- Incorporate feedback and outcome data from customers to continuously improve Workforce Verification logic and models; support experimentation and offline “test harness” design to safely evaluate new workflows and templates.
- Operate with a product mindset and strong ownership: document assumptions, decisions, and evaluation results; communicate trade-offs clearly; and proactively surface risks, limitations, and opportunities.

Job Requirements:

- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.
- 3–6 years of hands-on experience in data science, machine learning, or applied analytics, with meaningful work on fraud, risk, trust & safety, or workforce/hiring analytics preferred.
- Experience owning end-to-end analytics and/or model development projects: problem framing, data wrangling, feature engineering, model training, evaluation, and deployment support.
- Strong proficiency in Python and SQL, including experience with common data science and ML libraries (e.g., pandas, scikit-learn, XGBoost, PySpark, or similar).
- Comfort working with large, messy, and heterogeneous datasets (JSON workflows, logs, event streams, third-party enrichments) and building reusable abstractions or utilities to make them usable for yourself and others.
- Exposure to Natural Language Processing and/or unstructured text analytics—such as resume or document parsing, entity extraction, similarity search, or basic embedding-based methods—ideally applied in real-world products.
- Some hands-on experience working with Generative AI or LLM-based products (e.g., using commercial LLM APIs, prompt design, RAG-style retrieval, or evaluation of LLM outputs), with an interest in deepening this skill set.
- Strong analytical and problem-solving skills, including comfort reasoning about ambiguous signals and adversarial behavior in fraud or workforce contexts.
- Ability and willingness to take on light data engineering and production-oriented tasks when needed (e.g., building ETL transforms, contributing to Airflow/Spark jobs, or instrumenting basic monitoring) in partnership with engineering.
- Clear, concise communication skills and the ability to explain complex analyses, models, and GenAI behavior to non-technical stakeholders (product, GTM, customers).
- A bias toward ownership, learning, and collaboration—comfortable working in a fast-paced, evolving environment, receiving guidance from senior data scientists while steadily increasing your own scope and autonomy.
- Nice to have:
- Direct experience with workforce, HR tech, ATS/HRIS data, or hiring funnel analytics.
- Prior work on identity verification, device intelligence, or orchestration/rules engines (e.g., RiskOS or similar systems).
- Familiarity with evaluation and monitoring of GenAI systems (e.g., offline benchmarks, human-in-the-loop review, safety/hallucination checks).

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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