Business Data Scientist, gTech: Users & Products (ML/AI)

Google LLC; Leinster; On-site; EUR 90,000 - 92,000; Full time

Benefits offered by this job

Bonus target 15%

Equity

Benefits

Job summary

Google Dublin, Ireland is seeking a Business Data Scientist for the gTech Users and Products team. The role involves translating data into actionable business insights, building scalable analytics solutions, and communicating recommendations to executives.

Expected collaboration across product, engineering and operations to drive measurable impact. The team develops ML/AI solutions, data pipelines, and quantitative analyses that power Google's global product portfolio, with equity and a strong

Qualifications

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

Responsibilities

• Translate ambiguous business and operational issues 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 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.

Skills

Python

R

SQL

Education

Master's degree in quantitative field

Job description

Google Dublin, Ireland is seeking a Business Data Scientist for the gTech Users and Products team. The role involves translating data into actionable business insights, building scalable analytics solutions, and communicating recommendations to executives.

Expected collaboration across product, engineering and operations to drive measurable impact. The team develops ML/AI solutions, data pipelines, and quantitative analyses that power Google's global product portfolio, with equity and a strong