Senior Data Scientist
Core
Develop and ship machine learning features for MongoDB's core server, query engine, and Atlas cloud platform to optimize resource scaling, release safety, and incident response.
Role type
Senior IC machine learning engineer (infrastructure & platform)
Builds
Production ML models for fleet stability, efficiency, and operational automation within MongoDB's database-as-a-service platform.
Domain
Cloud-native database systems, distributed systems, and infrastructure optimization.
Deliverable
production ML models
Required skills
Machine learning model development, Python (object-oriented), statistical analysis, system architecture design, full ML lifecycle management (prototyping to deployment), dashboard creation, code review.
Preferred skills
Experience working autonomously with technical stakeholders, translating ML efficacy to business metrics, fostering psychological safety in team culture.
Technologies
Python, MongoDB Atlas, AWS, Google Cloud, Microsoft Azure.
Responsibilities
Partner with engineering teams to embed algorithmic rigor into resource scaling and monitoring systems; deliver production-ready statistical and ML algorithms; own the feedback loop by instrumenting models and creating dashboards; contribute to internal tooling and team processes.
Seniority
Senior, hands-on IC
