Senior Data Scientist Job at Bugcrowd

Senior Data Scientist

Bugcrowd

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

110720.00 - 138400.00 USD / Year

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Job Description:

We are looking for a hands-on Senior Data Engineer / Data Scientist to design and implement data-driven and AI-powered systems that enhance our offensive security capabilities. You’ll build scalable pipelines, deploy intelligent agents, and apply Generative AI, retrieval-augmented generation (RAG), and predictive modeling to solve complex security challenges. This role is ideal for someone who thrives at the intersection of AI innovation, data engineering, and cybersecurity, and wants to shape the next generation of intelligent offensive security tools on top of our MCP server and related platforms.

Job Responsibility:

Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases
Integrate Generative AI models (e.g., via AWS Bedrock, OpenAI, Anthropic) 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 (Glue, Lambda, Step Functions, S3, Redshift, Bedrock) and modern MLOps practices
Develop robust CI/CD pipelines for data and ML model deployment using AWS CDK and testing frameworks
Partner with infrastructure teams to scale AI workloads efficiently and securely across multi-tenant environments (FedRAMP, SOC2)
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation
Integrate ML and AI systems with core security platforms such as the MCP server, Bugcrowd Connect, and vulnerability intelligence pipelines
Design APIs and interfaces that enable LLM agents to interact with internal systems for search, enrichment, and decision support
Work cross-functionally with data, product, and platform teams to drive adoption of AI capabilities across the engineering organization
Provide technical mentorship and guide best practices for ML infrastructure, feature engineering, and model observability
Contribute to architectural reviews, ensuring scalability, maintainability, and security in all AI and data systems

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

Nice to have:

Knowledge of offensive security workflows (bug bounty, vulnerability research, red teaming)
Familiarity with vector databases, embedding models, and semantic search
Experience deploying AI solutions in regulated environments (FedRAMP, SOC2)
Bachelor’s or Master’s in Computer Science, Information Systems, or related field

Additional Information:

Job Posted:
February 17, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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