Staff Data Scientist - RiskOS
AI summary of the role
Socure is hiring a Staff Data Scientist for its RiskOS platform to own end-to-end development of data-driven solutions spanning fraud analytics, ML modeling, and Generative AI.
What you’ll do
- Develop and implement advanced analytics on noisy, heterogeneous RiskOS data to understand user behavior, fraud patterns, and workflow effectiveness.
- Architect and build scalable data pipelines and production ML workflows for batch and streaming use cases.
- Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt-based tools) that automate analytics and enhance RiskOS workflows.
- Own end-to-end deployment of production-grade solutions, including model packaging, integration, SLAs, telemetry, and feedback loops.
What you’ll bring
- Master's or PhD in Computer Science, Machine Learning, Statistics, Engineering, or related quantitative field, or equivalent experience.
- 6+ years hands-on experience in data science, machine learning, or high-scale data engineering with a track record in fraud prevention or risk analytics.
- Strong experience applying Generative AI in production contexts, including building LLM-based applications and prompt engineering.
- Deep proficiency in Python and SQL with ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch) and GenAI tooling (OpenAI/Anthropic APIs, Hugging Face).
Technologies
Python · SQL · scikit-learn · XGBoost · TensorFlow · PyTorch · OpenAI API · Anthropic API · Hugging Face · Databricks · Spark · BigQuery
About Socure
AI-native identity, fraud, and compliance platform that helps banks, fintechs, marketplaces, and governments approve more legitimate users while stopping fraud in real time.
Series E
Source and classification
Internal deployment & tooling · Evidence for this classification:
ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable
More from the 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 decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robu [... source excerpt omitted ...] d decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. This is a highly collaborative, hands‑on technical leadership role for someone who enjoys owning complex data problems end‑to‑end and acting as a force multiplier for other data scientists and product teams. What You'll Do Develop a [... source excerpt omitted ...] roduct usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements. Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform. Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline d
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