Senior Research Data Scientist

About the role

MINIMUM QUALIFICATIONS:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,

Operations Research, Engineering, or a related quantitative field.

• 5 years of work experience using analytics to solve product or business

problems, coding (e.g., Python, R, SQL), querying databases or statistical

analysis, or 3 years of work experience with a PhD degree.

• Experience with Machine Learning algorithms and statistical modeling.
• Experience with statistical data analysis, experimental design (e.g., A/B

testing), and causal inference.

• Experience applying causal inference techniques to estimate treatment effects

or perform counterfactual analysis.

PREFERRED QUALIFICATIONS:

• 8 years of work experience using analytics to solve product or business

problems, coding (e.g., Python, R, SQL), querying databases or statistical

analysis, or 6 years of work experience with a PhD degree.

• Experience in scientific methodologies and Large Language Models
• Experience performing product growth opportunity and headroom analysis.
• Experience solving unstructured business problems and translating results

into product recommendations.

• Experience translating unstructured business problems into data-driven

product recommendations

• Ability to articulate scientific concepts to both technical and non-technical

stakeholders.

ABOUT THE JOB:

Google Search is the world's most trusted and knowledgeable health companion,

activating seamless care-paths for every Health Journey. Health is one of

Alphabet's top priorities, and this is a high-visibility role focused on

evaluations, metrics, and user insights for AI answers in Search Health. You

will have significant opportunities to influence product and engineering

directions by creating and applying advanced statistical, Machine Learning (ML),

and Large Language Model (LLM) methodologies to solve complex business

problems.In Google Search, we're reimagining what it means to search for

information – any way and anywhere. To do that, we need to solve complex

engineering challenges and expand our infrastructure, while maintaining a

universally accessible and useful experience that people around the world rely

on. In joining the Search team, you'll have an opportunity to make an impact on

billions of people globally.Individual pay is determined by factors including

job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Research and develop advanced analysis, causal inference analysis of impact,

and creative new methodologies (e.g., LLM-based methods) to identify product

opportunities from various data sources and product headroom analysis for key

AI features.

• Frame and solve ambiguous business problems and communicate data-driven

solutions effectively to stakeholders.

• Initiate projects across the organization and drive them to completion

autonomously while advocating for users and focusing on long-term responsible

growth.

• Interact cross-functionally as a thought partner to influence a wide range of

product stakeholders and senior product leadership.

• Leverage AI fluency and tools to drive advanced statistical and machine

learning solutions for complex business challenges.