Find Data science_ ml Jobs in Sandyford County Dublin

Senior Data Scientist
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Master's degree
- AWS
8d
Analytics Team Lead
Citco —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
Account Management, Associate Director - Healthcare Data & Technology
IQVIA —Dublin, County Dublin
- Full-time
- Master's degree
- Business development
- Bachelor's degree
Staff Software Engineer, Rollouts Sequencing
Google —Dublin, County Dublin
- €150,000–€153,000 a year
- Full-time
- Computer Science
- System design
- Java
3d
FS Technology Consulting - AI and Data - Forward Deployed AI Engineer - Manager - Dublin
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- System design
- Gym membership
Senior AI/ML Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- SQL
6d
Associate Director, Data Capability Lead
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Master's degree
- AWS
1d
Associate Director, Data Capability Lead
AstraZeneca —Dublin, County Dublin
- Computer Science
- Master's degree
- AWS
2d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Windows
10d
AI & Data - Applied AI Delivery Architect - Senior Manager
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Gym membership
Full Stack Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer science
- Microsoft Excel
- Engineering
Lead Site Reliability Engineer (AI/ML)
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Scripting
1d
Software Engineer Train AI (Senior)
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- No degree
- AI
5d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Senior Specialist, Product Management - AI
Mastercard —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Product management
AI & Data - Forward Deployed AI Engineer, Senior Manager
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- System design
- Master's degree
- Gym membership
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Software Engineer - Observability
Microsoft —Dublin, County Dublin
- €63,400–€105,700 a year
- Full-time
- Azure
- Computer Science
- DevOps
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree

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Senior Data Scientist

MongoDB -
Dublin, County Dublin

Apply Now

Job details

8 days ago

Qualifications

Azure
Master's degree
AWS
Business
Python

Full job 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.

We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model.

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, not just an impressive-sounding methodology
Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar 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

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. You have delivered small-to-medium improvements to our project portfolio
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; deepened working relationships with two or more partner engineering teams; and become a go-to resource for statistical or engineering rigor across the team

Skills & Attributes

5+ years of hands-on machine learning model development, working directly with technical stakeholders
Expertise and track of record working autonomously across the entire machine learning development lifecycle, including prototyping, simulation, tuning and iterating on products in deployment environments with and without dedicated engineering help
Embraces an object-oriented approach to designing scalable and readable Python codebase, and has experience working with engineers on architecture design of machine learning systems
Our codebase is primarily in Python and we use AI for developer productivity - but we expect all ICs to review, understand, and be able to redesign any code that ships regardless of whether a human or an AI wrote the first draft
Takes ownership of team culture: models psychological safety, and - in whatever way suits their style, whether that's a quiet word or a vocal challenge - encourages others to speak up and calls out when the environment isn't living up to it
Effective at communicating technical ML concepts to non-ML-experts audiences; e.g. able to translate efficacy measurements of ML models and products 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.)

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3273521781

Apply Now

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