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About the Role

Socure is seeking a Data Scientist for Workforce Verification on the RiskOS team to own the end-to-end data science lifecycle for a critical new product area focused on workforce identity and hiring fraud. This role involves analyzing multi-source data to uncover fraud patterns and translate insights into rules and machine learning models, with a focus on Natural Language Processing and Generative AI components like resume verification agents.

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 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.
Develop and evaluate machine learning models for workforce risk and identity assessment.
Collaborate with product teams on GenAI-powered features such as the Resume Verification Agent and explanation agents.
Partner closely with engineering to productionize models, rulesets, and GenAI components within RiskOS.
Work with product and GTM teams to translate model and rule performance into clear, customer-facing narratives.
Incorporate feedback and outcome data from customers to continuously improve Workforce Verification logic and models.
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.

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 and building reusable abstractions or utilities.
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.
Clear, concise communication skills and the ability to explain complex analyses, models, and GenAI behavior to non-technical stakeholders.
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.

Skills

Python
SQL
pandas
scikit-learn
XGBoost
PySpark
Natural Language Processing
unstructured text analytics
Generative AI
LLM APIs
prompt design
RAG-style retrieval
data engineering
communication

Location

Remote

Work Type

Full-time

Experience Level

3-6 years

Education Level

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.

About the Company

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.
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.

Equal Opportunity

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.