Senior Data Scientist — ML, Analytics & Strategy

Google Inc.; Dublin; On-site; EUR 90,000 - 92,000; Full time

Benefits offered by this job

15% bonus target

Equity

Benefits

Job summary

Google Dublin, Ireland is seeking a Business Data Scientist in the gTech Users and Products group to drive analytics across product and operations. The role emphasizes mentoring, data-driven decision-making, and cross-functional influence in a complex, fast-paced environment.

The Mid level position requires a Master’s in a quantitative field and 3 years of hands-on analytics experience, including Python/SQL/R, ML techniques, and strong communication of insights to executives.

Qualifications

• Master's degree in a quantitative discipline or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (Python, SQL, R), or relevant PhD.
• Experience with Machine Learning (ML) models or AI.

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.

Skills

Analytics

Problem solving

Mentoring

Communication

Education

Master's degree in quantitative discipline

Tools

Python

SQL

R

ML frameworks

Job description

Google Dublin, Ireland is seeking a Business Data Scientist in the gTech Users and Products group to drive analytics across product and operations. The role emphasizes mentoring, data-driven decision-making, and cross-functional influence in a complex, fast-paced environment.

The Mid level position requires a Master’s in a quantitative field and 3 years of hands-on analytics experience, including Python/SQL/R, ML techniques, and strong communication of insights to executives.