Find Data science_ ml Jobs in Sandyford County Dublin

Business Data Scientist, gTech Users and Products
Google —Dublin, County Dublin
- €90,000–€92,000 a year
- Full-time
- Doctoral degree
- Engineering
- Master's degree
AI Applied Researcher
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Research
- Gym membership
AI/ML Computational Scientist Manager
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
Analytics Team Lead
Citco —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Data Scientist
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Master's degree
- AWS
6d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Windows
7d
Senior AI/ML Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- SQL
4d
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
AI & Data - Applied AI Delivery Architect - Senior Manager
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Gym membership
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
Software Engineer Train AI (Senior)
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- No degree
- AI
3d
Senior Specialist, Product Management - AI
Mastercard —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Product management
Software Engineer
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- Bachelor's degree
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Manager, PDS BI&T - AI Engineering & Enablement
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
- Annual leave
9d
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Engineering
- Java
- Annual leave
Knowledge Engineering Manager
Accenture —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Computer Science
7d
Staff Product Engineer, AI
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Maths
- Bachelor's degree
- Work from home

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Business Data Scientist, gTech Users and Products

Google -
Dublin, County Dublin

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Job details

Full-time
€90,000–€92,000 a year

Qualifications

Doctoral degree
Engineering
R
Master's degree
SQL
Data collection
AI
Python
Analytics

Full job description

Minimum qualifications:

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience with Machine Learning (ML) models or Artificial Intelligence (AI).

Preferred qualifications:

4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience applying ML models and AI techniques to analyze complex datasets and solve business problems.
Strong foundation in statistical methodologies to analyze operational data and validate business decisions.
Ability to manage multiple projects with engaging priorities in an ambiguous environment.
Ability to translate complex data insights into compelling narratives to influence cross-functional partners and executives.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Product Services Analytics (PSA) is a centralized data science and analytics team powering the operations that support Google's global product portfolio. Operating holistically across a broad spectrum of critical service operations, we enable data-backed decision-making that optimizes operational efficiency and drives product improvements.

Business Data Scientists in PSA are united by our passion for data science, advanced modeling, and making a scalable impact. We are on a mission to delight the millions of users, developers, and partners who rely on Google's flagship products and services. Being at the intersection of product, engineering, and global operations, we focus on technical solutions across a holistic set of services, including Machine Learning data operations driving AI model advancements, product testing, developer communities, and localization.

As a Business Data Scientist, you will balance business and operational needs with technical constraints, develop innovative ML/AI and investigative solutions, and act as a strategic partner to cross-functional teams. You will design scalable solutions to automate analysis, establish robust performance and modeling, and oversee the data-backed execution of critical operations, driving impact through clear communication.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Translate ambiguous business and operational challenges into scalable investigative solutions, models, and actionable insights.
Lead project work and mentor team members in designing and deploying data science models, ML/AI solutions, robust data pipelines, and evaluation frameworks.
Build and implement reusable, scalable investigative tools and automated solutions that optimize the operational processes.
Collaborate with engineering partners to write robust code and implement tools that improve troubleshooting efficiency, operational workflows, and the end-user experience.
Manage cross-functional stakeholder expectations, communicating complex technical findings and data insights clearly to both technical and non-technical audiences to drive business decisions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

data science_ ml jobs in sandyford county dublin

Business Data Scientist, gTech Users and Products

AI Applied Researcher

AI/ML Computational Scientist Manager

Practice Lead - Data Science_ ML

Analytics Team Lead

Staff Machine Learning Engineer

Senior Data Scientist

Senior Data Engineer

Senior AI/ML Engineer

AI & Data - Forward Deployed AI Engineer, Senior Manager

AI & Data - Applied AI Delivery Architect - Senior Manager

FS Technology Consulting - AI and Data - Forward Deployed AI Engineer - Manager - Dublin

Software Engineer Train AI (Senior)

Senior Specialist, Product Management - AI

Software Engineer

Director, Software Engineering

Manager, PDS BI&T - AI Engineering & Enablement

Sr Machine Learning Engineer

Knowledge Engineering Manager

Staff Product Engineer, AI

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