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Senior Data Scientist for Engineering Systems

MongoDB· Platform Data Science
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Hybrid (Dublin or Cork)full-timePosted 1mo ago

About the role

Senior Data Scientist focused on engineering systems across Server Query, Atlas Clusters, Release Quality and other teams. Research, prototype and ship ML features for MongoDB’s core server, query engine and Atlas, with hybrid Dublin/Cork work model.

Responsibilities

  • Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine
  • Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact
  • Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly
  • Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity

Qualifications

  • 5+ years of hands-on machine learning model development, working directly with technical stakeholders
  • Expertise and track record autonomously across the entire ML development lifecycle including prototyping, simulation, tuning and iterating on deployment
  • Embraces an object-oriented approach to designing scalable and readable Python codebase, with experience collaborating on ML systems architecture
  • Codebase is primarily Python; ability to review, understand, and redesign code regardless of whether AI or humans wrote drafts
  • Ability to translate ML efficacy measurements into tangible business impact metrics
  • Master's degree or equivalent experience in a quantitative/computational discipline (computer science, applied mathematics, statistics, physics, operations research, etc.)
  • Effective communication of technical ML concepts to non-ML-experts audiences

Skills

Required:Machine Learning model development

Benefits

  • Inclusive culture and wellbeing support
  • Fertility assistance and parental leave policy
  • Employee affinity groups
  • Supportive and enriching culture for personal and professional growth
Last updated Oct 8, 2026. Interested? Apply on the company site.
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