Role Overview
Socure is seeking a Data Scientist II - RiskOS to own the end-to-end data science lifecycle for workforce identity and hiring fraud solutions on a remote basis. This full-time position suits an analytical professional with a background in fraud or risk who wants broad ownership in natural language processing and Generative AI.
Key Responsibilities
Own the full data science lifecycle for Workforce Verification use cases on RiskOS, covering exploration, hypothesis generation, model development, evaluation, deployment, and monitoring.
Explore and analyze workforce-related data sources including applications, resumes, device and behavioral telemetry, background checks, and ATS/HRIS integrations to spot fraud patterns.
Design, implement, and iterate on rules, conditions, and heuristic logic within RiskOS workflows to detect high-risk workforce events.
Develop and evaluate machine learning models for workforce risk and identity assessment, such as applicant fraud risk scoring, identity clustering, and anomaly detection.
Collaborate with product teams on Generative AI features like the Resume Verification Agent and explanation agents by defining inputs and outputs and building evaluation frameworks.
Partner with engineering to productionize models, rulesets, and GenAI components, defining interfaces and contributing to monitoring and feedback loops.
Translate model and rule performance into clear customer-facing narratives alongside product and Go-To-Market teams.
Incorporate customer feedback and outcome data to continuously improve Workforce Verification logic and models while supporting offline test harness designs.
Document assumptions, decisions, and evaluation results while proactively communicating trade-offs, risks, and limitations.
Requirements
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.
Three to six years of hands-on experience in data science, machine learning, or applied analytics.
Experience owning end-to-end analytics and model development projects including problem framing, data wrangling, feature engineering, training, and deployment support.
Strong proficiency in Python and SQL, including familiarity with common libraries such as pandas, scikit-learn, XGBoost, and PySpark.
Comfort working with large, messy, and heterogeneous datasets like JSON workflows, logs, event streams, and third-party enrichments.
Exposure to Natural Language Processing and unstructured text analytics such as resume parsing, entity extraction, or embedding-based methods.
Hands-on experience working with Generative AI or LLM-based products, including commercial LLM APIs, prompt design, and RAG-style retrieval.
Strong analytical and problem-solving skills with the ability to reason about ambiguous signals and adversarial behavior.
Ability and willingness to take on light data engineering and production tasks when needed, such as building ETL transforms or contributing to Airflow and Spark jobs.
Clear communication skills for explaining complex analyses and GenAI behavior to non-technical stakeholders.
A bias toward ownership, learning, and collaboration in a fast-paced environment.
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 and rules engines.
Familiarity with evaluation and monitoring of GenAI systems, such as offline benchmarks or human-in-the-loop review.
Skills and Tools
Python
SQL
Spark
LLM
RAG
Airflow
Salary and Benefits
Annual Salary: $140,000 to $170,000 USD
About the Company
Socure builds the identity trust infrastructure for the digital economy by verifying good identities in real time and stopping fraud before it starts. The organization serves businesses, governments, and millions of individuals as a leading provider of digital identity verification and fraud prevention solutions.
How to Apply
To apply for this position, please visit the official company careers page.
