Bugcrowd

Senior Data Scientist

Bugcrowd

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $110,720 - $138,400 per year

Job Level

About the role

  • Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
  • Integrate Generative AI models with internal APIs and security datasets to automate and augment workflows.
  • Build and fine-tune ML models for vulnerability prediction, triage prioritization, and exploit pattern detection.
  • Develop evaluation pipelines and feedback loops to continuously improve AI model performance and explainability.
  • Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
  • Build secure data ingestion, transformation, and storage workflows leveraging AWS and modern MLOps practices.
  • Develop robust CI/CD pipelines for data and ML model deployment.
  • Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.

Requirements

  • 5+ years of experience in Data Science, Machine Learning Engineering, or Data Engineering.
  • Deep experience with Python, AWS services (S3, Lambda, Batch, Glue, Bedrock, Step Functions, Redshift), and ML frameworks (Scikit-Learn, XGBoost, PyTorch, etc.).
  • Proven experience building end-to-end ML pipelines — from data ingestion to model deployment and monitoring.
  • Strong understanding of LLM technologies, RAG architectures, and API integration with AI systems.
  • Ability to design and manage data architectures for large-scale, multi-tenant environments.
  • Experience applying ML or automation to security or operational intelligence domains.
  • A builder’s mindset — passionate about shipping scalable, practical AI systems.
Benefits
  • Discretionary bonus program
  • Paid time off
  • Flexible work arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonMachine Learning EngineeringData EngineeringML pipelinesLLM technologiesRAG architecturesAPI integrationdata architecturesautomationMLOps
Soft Skills
collaborationproblem-solvingcommunicationadaptabilitycreativitycritical thinkingattention to detailproject managementanalytical thinkingbuilder's mindset