Senior Data Scientist, Research, Generative AI @ Google
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Position Overview: Senior Data Scientist, Research, Generative AI
This role requires an experienced data scientist with extensive work in analytics, coding (Python, R, SQL), and applying advanced statistical and machine learning methods. The candidate will drive research, develop evaluation frameworks, and lead the design and deployment of Generative AI solutions within Google’s innovative environment.
Minimum Qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related field
- 5 years of relevant work experience using analytics to solve business problems with coding and statistical analysis OR 3 years of work experience with a PhD degree
Preferred Qualifications:
- Master's or PhD in Data Science, Computer Science or a related quantitative field
- 7 years of experience as a data scientist applying advanced statistical and machine learning methods
- Experience in Generative AI, building and evaluating AI-agents with foundational language models
- Proficiency with frameworks like TensorFlow, LangChain, and PyTorch
- Experience building large-scale data processing pipelines (e.g., BigQuery) and expertise in Cloud Computing, ML Ops, and Google Cloud Platform (GCP)/Vertex-AI
About the Job:
The Data Science team is embedded within Waze development squads, driving data-backed strategies across core functions including map and product development, advanced guidance, and user communications. The team is pivotal in shaping product strategy with comprehensive data warehouses, dashboards, and Gen-AI agents that empower both data scientists and stakeholders.
Responsibilities:
- Develop and implement measurement methodologies and evaluation frameworks for AI agents
- Collaborate with software developers, data engineers, and product managers to implement Gen-AI models
- Translate technical concepts and findings into clear, actionable insights across teams
- Lead design, development, and deployment of Generative AI agents for conversational and data ingestion applications
Key skills/competency:
Data Science, Generative AI, Python, Machine Learning, Cloud, BigQuery, TensorFlow, PyTorch, Evaluation Frameworks, Statistical Analysis
How to Get Hired at Google
🎯 Tips for Getting Hired
- Customize your resume: Tailor it to highlight advanced AI research and data science skills.
- Showcase project experience: Detail specific Generative AI or ML projects.
- Emphasize cloud expertise: Highlight work with GCP and large-scale data pipelines.
- Prepare for technical interviews: Practice coding, statistics, and ML problem-solving.