Senior Data Scientist
Research, prototype, and ship statistical and machine learning features that improve MongoDB’s fleet stability, release safety, resource efficiency, and operational automation. The role requires 5+ years of hands-on ML development, strong Python and systems-design skills, and a master’s degree or equivalent quantitative experience.
About the job
Responsibilities
- Partner with Server Query, Atlas Clusters, Release Quality, and other engineering teams to apply algorithmic rigor and optimization to resource scaling, release safety, monitoring systems, and query-engine performance.
- Research, prototype, and ship production-ready statistical and machine learning algorithms for MongoDB’s server, query engine, and Atlas cloud platform.
- Identify limitations, thoroughly test solutions, and demonstrate measurable business impact.
- Own the model feedback loop by instrumenting architectures with performance metrics, creating dashboards with analytics partners, collecting user and operational feedback, diagnosing issues, and iterating.
- Contribute thoughtful code reviews and internal packages, tooling, and processes that improve developer productivity.
Requirements
- 5+ years of hands-on machine learning model development while working directly with technical stakeholders.
- Experience independently owning the full machine learning development lifecycle, including prototyping, simulation, tuning, and iteration in deployment environments.
- Strong object-oriented Python development skills and experience designing scalable, readable codebases.
- Experience collaborating with engineers on machine learning system architecture.
- Ability to review, understand, and redesign production code.
- Strong communication skills, including explaining machine learning concepts and translating model efficacy into business impact.
- Master’s degree or equivalent experience in a quantitative or computational discipline such as computer science, applied mathematics, statistics, physics, or operations research.
- Commitment to psychological safety and an inclusive team culture.
Skills
Machine Learning, Statistical Modeling, Python, Object-Oriented Programming, Machine Learning Lifecycle, Simulation, Model Tuning, Machine Learning Systems Architecture, Model Monitoring, Dashboards, Code Review, Atlas
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