Senior Data Scientist

As a Senior Data Scientist AI, you will lead the design and development of machine learning

and generative AI models that enhance our platform. You will work closely with engineers,

product managers, and cybersecurity SMEs to innovate how we analyze architectures, assess

risks, and automate threat intelligence. This is a hands-on, highly strategic role that requires

both technical depth and product insight.

Key Responsibilities

• Design and implement ML and NLP models for use in analysis, pattern recognition, and

AI-powered automation.

• Build and evaluate generative AI models (e.g., LLMs or RAG pipelines) to automate

threat model generation and risk recommendations.

• Collaborate with product and engineering to align AI solutions with customer pain points

and business goals.

• Conduct data discovery, wrangle large security and architecture datasets, and ensure

data quality for training and inference.

• Lead experiments, performance tuning, and model deployment using MLOps best

practices.

• Develop reusable components and contribute to internal AI frameworks and libraries.
• Interpret and communicate complex data science results to non-technical stakeholders.
• Mentor junior data scientists and help define the future AI roadmap at ThreatModeler.

Required Qualifications

• 5+ years of industry experience in data science, machine learning, or AI development,

preferably in enterprise software or cybersecurity.

• Advanced degree (MS or PhD) in Computer Science, Data Science, Statistics, or a

related field.

• Strong experience in NLP, LLMs (e.g., OpenAI, Cohere, Anthropic), and transformer

architectures.

• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging

Face).

• Deep understanding of model evaluation, bias/fairness, data preprocessing, and

statistical analysis.

• Familiarity with cloud environments (AWS/GCP/Azure) and containerized model

deployment (Docker, Kubernetes).

• Experience working with graph-based models, threat intelligence, or security ontologies

is a strong plus.

Preferred Qualifications

• Experience with MLOps tools (MLflow, Vertex AI, SageMaker).
• Understanding of threat modeling methodologies
• Background in building SaaS AI solutions for large-scale enterprise clients.