# Senior Data Scientist

**Company**: MongoDB
**Location**: Cork, Dublin
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/mongodb/jobs/8135458?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4ae96e45-728

## Description

As Senior Data Scientist for Engineering Systems, you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams.

Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response, and query engine performance.

Join the Platform Data Science team and help us research, prototype, and ship machine learning features for MongoDB’s core server, query engine, and Atlas, our database-as-a-service cloud offering.

## What You'll Do

- 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, 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.

## Measures of Success

- In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with.

- In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice.

- In 12 months, you've established a track record of shipping ML-driven improvements to fleet stability, efficiency, or operational automation.

## Skills & Attributes

- 5+ years of hands-on machine learning model development, working directly with technical stakeholders.

- Expertise and track record working autonomously across the entire machine learning development lifecycle.

- Experience with Python, object-oriented approach to designing scalable and readable codebase.

- Effective at communicating technical ML concepts to non-ML-experts audiences.

- Master's degree or equivalent experience in a quantitative/computational discipline.

## Skills

### Required
- Python
- machine learning
- data science
- algorithmic rigor
- optimization

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/mongodb/jobs/8135458?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)