Staff Data Scientist - RiskOS

Socure
United States
Workplace: RemoteFull timeUSD 175,000 - 205,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Communication","Leadership","Mentoring","Collaboration","Problem-solving"]

Senior data science lead focusing on risk analytics and Generative AI within the RiskOS platform. Own end-to-end data solutions from exploration and modeling to production deployment, build scalable ML pipelines, design GenAI tools for analytics and investigations, mentor teammates, and partner with product, risk, and engineering to drive fraud prevention and decisioning at scale.

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FursaFursa
Socure
Socure
5 months ago

Staff Data Scientist - RiskOS

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Senior data science lead focusing on risk analytics and Generative AI within the RiskOS platform. Own end-to-end data solutions from exploration and modeling to production deployment, build scalable ML pipelines, design GenAI tools for analytics and investigations, mentor teammates, and partner with product, risk, and engineering to drive fraud prevention and decisioning at scale.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and implement advanced analytics on noisy RiskOS data to understand user behavior, product 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 data processing for 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 documentation, and enhance RiskOS workflows and reporting.
  • •Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human-in-the-loop review, safety checks, and production impact measurement.

Pay and Benefits

Salary: USD 175,000 - 205,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience
  • •6+ years of hands-on experience in data science, machine learning, or high-scale data engineering roles with fraud prevention or risk analytics focus
  • •Strong experience applying Generative AI in production contexts, including building and evaluating LLM-based applications or agents
  • •Proficiency in Python and SQL with experience in ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch) and GenAI tooling (OpenAI/Anthropic APIs, Hugging Face)
  • •Experience building and maintaining scalable data pipelines and deploying ML models in production (streaming/near real-time), plus data engineering concepts (ETL, data warehousing, schema design)
Experience:6+ yearsFraudRisk analyticsFintech
Skills:CommunicationLeadershipMentoringCollaborationProblem-solving
Tech Stack:PythonSQLScikit-learnXGBoostTensorFlowPyTorchOpenAIAnthropicHugging FaceDatabricksSparkPySparkBigQuery

Company Brief

Socure
Provides AI-driven digital identity verification and fraud prevention solutions that analyze device, behavioral, and contextual data to detect synthetic identities, stop account takeover, and enable secure onboarding for banks, fintechs, and enterprises.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: New York, United States
Founded: 2012
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn