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Google
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Staff Data Scientist, GenAI Applications, Global Business Consulting
Singapore
· Full-time
·
Not Applicable
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications:
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.
We are seeking an experienced Data Scientist with a background and passion for Generative AI to lead the research, development, and evaluation of our Generative AI solutions. This full-stack solution will be built directly upon critical data assets and integrated into core business consultation workflows.
This role offers a unique opportunity to work closely with mobile games and apps developers, translating data into AI-driven products that directly enable the growth of their businesses.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Responsibilities
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience in Generative AI evaluation methodologies and metrics (e.g., LLM-as-a-judge, safety, quality, and bias detection).
- Experience applying Generative AI technologies to enterprise-scale products and solutions, particularly within a quantitative domain.
- Understanding of MLOps/LLMOps practices for productionizing AI agents and models.
- Proficiency with cloud-native platforms (e.g., Google Cloud/GCP).
- Ability to break down ambiguous problems and propose impactful solutions through data modeling and system design.
- Excellent attention to detail and effective verbal/written communication skills, including the ability to communicate technical concepts to non-technical stakeholders.
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.
We are seeking an experienced Data Scientist with a background and passion for Generative AI to lead the research, development, and evaluation of our Generative AI solutions. This full-stack solution will be built directly upon critical data assets and integrated into core business consultation workflows.
This role offers a unique opportunity to work closely with mobile games and apps developers, translating data into AI-driven products that directly enable the growth of their businesses.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Responsibilities
- Design and implement data science pipelines, utilizing techniques such as Retrieval-Augmented Generation (RAG) and Fine-tuning, to build advanced Generative AI solutions. Develop algorithms and predictive models to solve business problems.
- Develop and refine Large Language Model (LLM) based agents and sophisticated workflows, specifically focusing on advanced prompt engineering (e.g., Multi-hop Chain of Thought Prompting (MCP)), configuring RAG systems (e.g., chunking, embeddings, metadata filters, and vector databases).
- Serve as a subject matter expert, partnering with consultants and business stakeholders to translate ambiguous business issues into meaningful data science questions, drive data-driven decision-making, and mentor junior team members.
- Design and implement efficient data pipelines for data collection, cleaning, and pre-processing to ensure the quality of datasets is tailored for LLM training/serving.
Key Skills
Ranked by relevance
ai
android
cloud
python
zoom
sql
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- Posted
- Feb 14, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Singapore
- Company
Industries
Information Services
Technology
Information
Internet
Categories
Information Technology
Engineering
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer II, Neural Retrieval
2026-04-09
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Switzerland
Information Services
Information Technology
View Job Details
Related
Software Engineer, Early Careers, PhD, Cloud AI
2026-04-06
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View Job Details
Related
Software Engineer III, Android
2026-04-10
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