Staff Data Scientist, Applied ML
Core
Building and maintaining SignalGraph, a company-wide metric graph for tracing organizational activity and outcomes, and developing retrieval-augmented generation (RAG) systems on top of it.
Role type
Staff individual contributor machine learning engineer (applied)
Builds
Production ML systems, metric graphs, and RAG applications for automated decisioning
Domain
SaaS, small business management, service industry
Deliverable
production ML models
Required skills
Deep learning, transformer architectures, ranking, graph representation learning, LLMs, RAG, production ML end-to-end, statistics, SQL, Python
Preferred skills
Graph theory, graph neural networks, knowledge graphs, Neo4j, software engineering, Docker, Kubernetes, CI/CD, feature stores, Snowflake, LLMOps, risk/fraud modeling
Technologies
Neo4j, Apache Airflow, AWS, Snowflake, Snowpark, Docker, Kubernetes
Responsibilities
Evolve metric-family contracts and segment catalogs; design and evaluate RAG systems; own production ML pipelines and real-time serving; establish systematic evaluation and regression testing; drive MLOps standards and mentor peers; partner with senior leadership on strategic decisions
Seniority
Staff, hands-on IC with architectural scope