Senior Research Data Scientist

Google LLC; New York (NY); Hybrid; USD 174,000 - 252,000; Full time

Job summary

Google LLC in New York is seeking a highly skilled data scientist to apply advanced statistics, machine learning, and causal inference to health-related search features. This role offers significant scope to influence product and engineering directions and impact billions of users globally.

US salary range is $174,000–$252,000 with a 15% bonus target, equity, and benefits. The role requires managing complex analyses and communicating findings to diverse stakeholders.

Qualifications

• Master's degree in a quantitative field (Statistics/Data Science/Math/Physics/Economics/OR Engineering).
• 5 years of analytics experience or 3 years with a PhD in coding, querying databases, or statistics.
• Experience with ML algorithms and statistical modeling.
• Experience with experimental design (A/B testing) and causal inference.
• Applying causal inference to estimate treatment effects or counterfactuals.

Responsibilities

• Research and develop advanced analysis, causal inference, and ML methodologies to identify product opportunities.
• Frame and solve ambiguous business problems and communicate data-driven solutions to stakeholders.
• Initiate cross-functional projects and drive them to completion while advocating for users and long-term responsible growth.
• Interact cross-functionally to influence product stakeholders and senior leadership.
• Leverage AI fluency to drive advanced statistical and ML solutions for complex business challenges.

Skills

Python

R

SQL

Statistics

Education

Master's degree in quantitative field

PhD considered

Job description

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.

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

Responsibilities

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .