Business Data Scientist, gTech Users and Products

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

Business Data Scientist, gTech Users and Products

Google Dublin, Ireland

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• 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.

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.