Staff Data Scientist, Machine Learning
Core
Architect and execute Machine Learning solutions, develop Large Language Models (LLMs), and build the AI stack to automate complex Data Analytics workflows.
Role type
Staff Data Scientist (Applied AI/LLMs)
Builds
AI stack, real-time anomaly detection models, LLM-based agents, and automated analysis workflows.
Domain
IT Security / Identity Management / SaaS
Deliverable
production ML models
Required skills
Python, SQL, statistical analysis, MLOps, feature engineering, LLM APIs, RAG, Semantic Layers, Embeddings, agent orchestration, real-time model inference, model observability, cost management, business acumen, strategic communication, cross-functional leadership
Preferred skills
Data Engineering (governance, transformation, orchestration), recurring-revenue B2B SaaS business models
Technologies
Python, SQL, LLM frameworks, agent orchestration frameworks, MLOps platforms
Responsibilities
Lead AI stack roadmap from prototyping to deployment; ensure robust performance and validation of real-time models; establish standards for model development, security, and cost; coach analysts and create reusable tools; translate technical work into recommendations for senior stakeholders; align stakeholders on competing priorities.
Seniority
Staff, hands-on IC with mentorship
