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About MongoDB
MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.
MongoDB currently has
311 open roles
on FindRole.
Listed pay typically runs
$126,000–$226,000
across 95 roles with salary data.
As a Senior Data Scientist for Engineering Systems on the Platform Data Science team, you will work independently with engineers from Server Query, Atlas Clusters, and Release Quality to solve complex problems involving resource scaling across the fleet, safe feature rollout, automated incident response, and query engine performance. You will research, prototype, and ship production-ready machine learning features for the core server and database-as-a-service cloud offering. Your daily work involves embedding algorithmic rigor into monitoring systems, owning the full feedback loop by instrumenting model architecture with metrics, and performing code reviews to improve developer productivity. The role requires expertise in the machine learning development lifecycle, an object-oriented approach to Python codebase design, and a master's degree or equivalent experience in a quantitative discipline like computer science, statistics, or physics to address technical infrastructure challenges.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Embed algorithmic rigor into resource scaling, release safety, and monitoring systems across the fleet.
Develop production-ready statistical and machine learning algorithms that deliver measurable business impact.
Manage the full feedback loop by instrumenting model architectures with performance metrics and creating dashboards.
Research, prototype, and ship machine learning features for MongoDB’s core server and query engine.
Design scalable and readable Python codebases using an object-oriented approach.
Translate complex technical ML concepts into tangible business impact metrics for non-expert audiences.
Contribute to internal packages, tooling, and team processes to improve developer productivity.
Perform peer code reviews to ensure high standards of software quality and engineering rigor.
What we're looking for
Must have 5+ years of hands-on machine learning model development experience working with technical stakeholders.
Must be able to work autonomously across the entire machine learning development lifecycle, including prototyping and tuning in production environments.
Must possess an object-oriented approach to designing scalable Python codebases.
Must be able to communicate complex technical ML concepts to non-expert audiences as tangible business impact metrics.
Must hold a Master's degree or equivalent experience in a quantitative or computational discipline.
Candidates must be based in Dublin or Cork for the hybrid working model.