Senior Research Data Scientist

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

Job summary

Google Search Health seeks a seasoned data scientist to apply advanced statistics, ML, and LLM methodologies to analytics and causal inference. You will identify opportunities from diverse data sources and advise on product headroom for AI features.

You will frame ambiguous business problems, communicate solutions to stakeholders, and drive cross-functional projects to completion while prioritizing user impact and responsible growth.

Qualifications

• Master's degree in a quantitative field is required.
• 5 years of work experience using analytics to solve product or business problems, coding (Python/R/SQL), querying databases or statistical analysis, or 3 years with a PhD.
• Experience with Machine Learning algorithms and statistical modeling.
• Experience with statistical data analysis, experimental design (A/B testing), and causal inference.
• Experience applying causal inference techniques to estimate treatment effects or perform counterfactual analysis.

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 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.

Skills

Python

R

SQL

Statistics

Machine Learning

Causal Inference

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related field

Job description

corporate_fare Google place Mountain View, CA, USA ; New York, NY, USA

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

• 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.

• 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.

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 .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.