Staff Data Scientist, Research, Search Health

DataJobs; New York (NY); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

20% bonus target

Equity

Benefits

Job summary

Google Health Search in New York, onsite, seeks a senior analytics leader to build evaluation frameworks and advanced analytics ensuring safe, high-quality AI-generated health guidance. You will translate complex business problems into rigorous analytical approaches and influence executive product leadership.

The role emphasizes partnering with cross-functional teams, launching initiatives, and delivering impactful product recommendations using Python, R, SQL, and LLM-based methods.

Qualifications

• Master’s degree in statistics, data science, mathematics, physics, economics, OR engineering or related quantitative field.
• 8+ years applying analytics to solve product or business problems with coding (Python, R, SQL) or statistical analysis.
• Alternatively, 6+ years with a PhD applying analytics to solve product or business problems.

Responsibilities

• Conduct advanced research/analysis including causal inference and impact measurement.
• Create/validate new methodologies including LLM-based methods to identify product opportunities from multiple data sources.
• Perform product headroom analysis for key AI features.
• Launch projects within Google and across teams and drive them to completion independently.
• Translate ambiguous business problems into clear analytical approaches and communicate solutions.
• Partner cross-functionally as a thought partner and influence a broad set of product stakeholders.
• Communicate persuasively to influence executive product leadership, including VPs and Directors.

Skills

Causal inference

Research analytics

Communication

Cross-functional collaboration

Education

Master’s degree in quantitative field

PhD in a related field

Tools

Python

R

SQL

LLM

Job description

Build evaluation frameworks and advanced analytics to help ensure AI-generated health guidance is safe, helpful, and high quality for Google Health Search.

Responsibilities

• Conduct advanced research and analysis, including causal inference and impact measurement.
• Create and validate new methodologies, including LLM-based methods, to identify product opportunities from multiple data sources.
• Perform product headroom analysis for key AI features.
• Launch projects within Google and across teams, then drive them to completion independently.
• Translate ambiguous business problems into clear analytical approaches and communicate the resulting solutions.
• Partner cross-functionally, act as a thought partner, and influence a broad set of product stakeholders.
• Communicate persuasively and clearly to influence executive product leadership, including VPs and Directors.

Requirements

• Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8+ years of work experience applying analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
• Alternatively, 6+ years of work experience with a PhD, applying analytics to solve product or business problems.

Technologies

• Python
• R
• SQL
• Large language model (LLM)

Preferred Qualifications

• 10+ years of work experience applying analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 8+ years with a PhD.
• Proven ability to solve unstructured business problems using data science and translate findings into impactful business or product recommendations.
• Strategic mindset, with strong critical thinking for complex problem analysis and data-driven solution development.
• Strong verbal and written communication skills for explaining complex concepts to both technical and non-technical stakeholders.

Benefits

• 20% bonus target
• Equity
• Benefits
• US salary range: $207,000 - $300,000 (USD) per year

Additional Information

• Team focus: Google Health Search
• Role purpose: define and evaluate the future of AI-generated health guidance, an Alphabet priority
• Location: New York, NY (onsite)
• Work location option to share during application: Mountain View, CA, USA or New York, NY, USA