✦ Luna Orbit — AI & Machine Learning

Staff Data Scientist - RiskOS

at Socure

📍 Remote - US Remote Posted March 31, 2026
Type Full-Time
Experience lead
Exp. Years 6+ years
Education Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or related quantitative field, or equivalent professional experience
Category AI & Machine Learning

Staff Data Scientist – RiskOS leads end-to-end data science work across fraud and risk analytics, including GenAI-powered tools, production ML workflows, and self-serve analytics for RiskOS.

  • Develop and implement advanced analytics on RiskOS data
  • Architect scalable data pipelines and ML workflows
  • Lead experimentation frameworks
  • Lead GenAI solutions for analytics and case investigations
  • Define evaluation frameworks for GenAI and build infrastructure

Deep GenAI focus with LLMs, agents, and prompt design; production ML with Databricks, Spark, PySpark, BigQuery; GenAI tooling via OpenAI/Anthropic APIs and Hugging Face; feature stores, model serving, and ML CI/CD.

The ideal candidate is a staff data scientist with 6+ years of experience in fraud/risk analytics and a proven track record applying Generative AI in production. They excel in building scalable ML pipelines, designing GenAI agents, and delivering self-serve analytics on RiskOS.

6+ years in data science / ML or high-scale data engineeringGenAI in production or near-production contextsPython and SQLLLMs / agentsprompt design and optimizationsafety and guardrail techniquesmodel evaluationdata privacy in fintech/regulatory environmentsproduction-grade pipelinesDatabricks / Spark / PySpark / BigQueryfeature storesmodel-serving APIsCI/CD for ML
fraud/risk modelingorchestration platformsmentoring senior ICs
DatabricksApache SparkPySparkBigQueryMLflowKubeflowRayOpenAI APIAnthropic APIHugging Face
6+ years in data science / ML; GenAI in production; Python; SQL; LLMs; OpenAI/Anthropic APIs; Hugging Face; Spark / PySpark; Databricks; BigQuery; feature stores; model-serving APIs; CI/CD for ML; MLflow; Kubeflow
PythonSQLscikit-learnXGBoostTensorFlowPyTorchOpenAI APIAnthropic APIHugging FaceOpenAIHugging Face ecosystemsretrieval-augmented generationLLMsagentsprompt designsafety and guardrail techniquesmodel evaluationDatabricksSparkPySparkBigQueryfeature storesmodel-serving APIsCI/CD for MLMLflowKubeflowRayAirflow
collaborationcommunicationleadershipstakeholder managementability to translate business requirements into data-driven solutions
Industry Fintech
Job Function Develop and operationalize data science and GenAI-powered analytics on the RiskOS platform.
Role Subtype Staff Data Scientist
Tech Domains Python, SQL, Databricks, Apache Spark, BigQuery, OpenAI API, Hugging Face, MLflow, Kubeflow, Machine Learning
Visa Sponsorship No
Staff Data Scientist - RiskOSGenerative AILLMsprompt designOpenAI APIAnthropic APIHugging FaceDatabricksSparkPySparkBigQueryfeature storesmodel-serving APIsCI/CD for MLMLflowKubeflowRayAirflowPythonSQLscikit-learnXGBoostTensorFlowPyTorchRAGretrieval-augmented generationprivacy-preserving MLfraudriskrisk analyticsproductionmonitoringexperimentation

Sponsorship required

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