Senior Research Data Scientist - AI/ML for Health Search

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC in Mountain View, CA seeks a senior quantitative data scientist to develop advanced analytics and causal inference methods guiding Health AI features in Search Health. You will translate data-driven insights into product opportunities, drive cross-functional initiatives, and influence key product decisions with rigorous experimentation.

You will work with Python/R/SQL, ML models, and LLM-based approaches, delivering scalable solutions that impact billions of users globally.

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, OR related field.
• 5 years of analytics experience with coding (Python/R/SQL) or 3 years with a PhD.
• Experience with ML algorithms and statistical modeling.
• Experience with experimental design and causal inference.
• Experience applying causal inference to estimate treatment effects or counterfactuals.

Responsibilities

• Develop advanced analysis and causal inference methods to identify product opportunities from data.
• Frame and solve ambiguous business problems and communicate data-driven solutions to stakeholders.
• Initiate projects across the organization and drive them to completion with user-centric focus.
• Collaborate cross-functionally to influence product leadership and strategy.
• Leverage AI fluency to deliver ML/LLM solutions for complex business challenges.

Skills

Python

R

SQL

ML algorithms

Experiment design

Causal inference

Statistical analysis

Education

Master's degree in Statistics or related quantitative field

PhD with 3+ years experience

Tools

LLMs

TensorFlow

PyTorch

Job description

Google LLC in Mountain View, CA seeks a senior quantitative data scientist to develop advanced analytics and causal inference methods guiding Health AI features in Search Health. You will translate data-driven insights into product opportunities, drive cross-functional initiatives, and influence key product decisions with rigorous experimentation.

You will work with Python/R/SQL, ML models, and LLM-based approaches, delivering scalable solutions that impact billions of users globally.