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, large-scale data processing systems, and AI agents for automated analysis.
Domain
Identity security, SaaS analytics, and AI-driven workforce management.
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, predictive modeling, prescriptive modeling, segmentation, root cause analysis, funnel optimization.
Preferred skills
Data governance, data transformation, data orchestration, recurring-revenue B2B SaaS business models.
Responsibilities
Lead the AI stack roadmap from prototyping to deployment and impact measurement; ensure robust performance and validation of real-time models; establish standards for model development, LLM evaluation, and security; coach analysts and create reusable tools; translate complex technical work into recommendations for senior stakeholders; align stakeholders with competing priorities.
Seniority
Staff, hands-on IC with strategic leadership
