Staff Data Scientist, GenAI Applications, Global Business Consulting
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- 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.
Preferred qualifications:
- 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.
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.
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.
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.