Senior Research Data Scientist

Google LLC; New York (NY); Presencial; USD 174.000 - 252.000; Tempo integral

Resumo da vaga

Google is seeking a Senior Research Data Scientist to advance analytics, ML, and causal inference for Search Health. You will develop methodologies to identify product opportunities, frame ambiguous business problems, and communicate data-driven recommendations to senior leadership.

Responsibilities include leading end-to-end analyses, collaborating across product and engineering teams, and applying LLM-based approaches to improve health-related AI features.

Qualificações

• Master's degree or higher in a quantitative field.
• 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 ML 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.

Responsabilidades

• Conduct advanced analyses and causal inference to identify product opportunities and headroom for AI features.
• Frame and solve ambiguous business problems and communicate data-driven solutions to stakeholders.
• Lead projects autonomously, focusing on user impact and responsible growth.
• Collaborate cross-functionally with product, engineering, and leadership teams.

Conhecimentos

Python

R

SQL

ML algorithms

Statistical modeling

A/B testing

Causal inference

Experiment design

Communication

Formação

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

Ferramentas

Large Language Models (LLMs)

Descrição da vaga

Senior Research Data Scientist

Google

Mountain View, CA, USA; New York, NY, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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

Learn more about benefits at Google.

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.

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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.

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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.

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