Jobright.ai
Research Data Scientist, Search Quality, Mid-Level
Jobright.ai, Mountain View, California, us, 94039
Research Data Scientist, Search Quality, Mid-Level
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Research Data Scientist, Search Quality, Mid-Level
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Jobright.ai Research Data Scientist, Search Quality, Mid-Level
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Research Data Scientist, Search Quality, Mid-Level
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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Google is seeking a Research Data Scientist to evaluate and improve the Google Search user experience, focusing on generative AI evaluation. The role involves analyzing data, developing metrics, and collaborating with engineers and researchers to enhance Search Quality models and products. Responsibilities: • Work with data sets, solve non-routine analysis problems, apply analytical methods as needed, conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. • Build and prototype analysis pipelines iteratively to provide insights at scale, develop knowledge of Google data structures and metrics, advocating for changes where needed for both products development and business strategy. • Interact cross-functionally with a wide variety of people and teams, and work with engineers to identify opportunities for design, and assess improvements to Google products. • Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. • Research and develop analysis methods to improve the quality of Google Search. Qualifications: Required: • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. • 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. Preferred: • 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 working on 0 to 1 products. • Experience working with eval data. Company: Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, California, USA, with a team of 10001+ employees. The company is currently Public Company. Google has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
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Join to apply for the
Research Data Scientist, Search Quality, Mid-Level
role at
Jobright.ai Research Data Scientist, Search Quality, Mid-Level
2 days ago Be among the first 25 applicants Join to apply for the
Research Data Scientist, Search Quality, Mid-Level
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Google is seeking a Research Data Scientist to evaluate and improve the Google Search user experience, focusing on generative AI evaluation. The role involves analyzing data, developing metrics, and collaborating with engineers and researchers to enhance Search Quality models and products. Responsibilities: • Work with data sets, solve non-routine analysis problems, apply analytical methods as needed, conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. • Build and prototype analysis pipelines iteratively to provide insights at scale, develop knowledge of Google data structures and metrics, advocating for changes where needed for both products development and business strategy. • Interact cross-functionally with a wide variety of people and teams, and work with engineers to identify opportunities for design, and assess improvements to Google products. • Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. • Research and develop analysis methods to improve the quality of Google Search. Qualifications: Required: • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. • 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. Preferred: • 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 working on 0 to 1 products. • Experience working with eval data. Company: Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, California, USA, with a team of 10001+ employees. The company is currently Public Company. Google has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
Mountain View, CA . Data Scientist, Analytics - Safety Response
San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago Palo Alto, CA $164,000.00-$211,000.00 2 weeks ago Data Scientist Graduate (TikTok-Product-Data Science)-2026 Start (BS/MS)
San Jose, CA $114,000.00-$177,777.00 1 week ago Mountain View, CA $240,000.00-$280,000.00 1 day ago Mountain View, CA $141,000.00-$202,000.00 5 days ago San Jose, CA $109,000.00-$192,400.00 2 weeks ago Fremont, CA $145,000.00-$204,000.00 5 days ago Data Scientist, Energy Analytics, Google Cloud
Sunnyvale, CA $166,000.00-$244,000.00 1 week ago San Jose, CA $130,000.00-$200,000.00 6 days ago Data Scientist, Product, Play Data Science and Analytics
Mountain View, CA $183,000.00-$271,000.00 2 weeks ago Mountain View, CA $136,301.00-$172,486.00 1 week ago Data Scientist II – Experimentation & Measurement
San Mateo, CA $153,300.00-$229,900.00 3 weeks ago Sunnyvale, CA $145,000.00-$204,000.00 1 week ago Senior Data Scientist, ML - Recommendations
Santa Clara, CA $170,000.00-$225,000.00 2 days ago Mountain View, CA $141,000.00-$202,000.00 3 weeks ago Sunnyvale, CA $173,000.00-$242,000.00 1 week ago San Francisco Bay Area $155,000.00-$265,500.00 2 weeks ago Fremont, CA $145,000.00-$204,000.00 1 week ago Sunnyvale, CA $165,000.00-$180,000.00 6 days ago San Jose, CA $123,500.00-$212,850.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 1 week ago San Jose, CA $176,356.00-$329,334.00 2 days ago Data Scientist - Trust and Safety - San Jose
San Jose, CA $144,000.00-$329,333.00 1 day ago Data Scientist Graduate [TikTok LIVE-Data Science] - 2026 Start (BS/MS)
San Jose, CA $84,445.00-$124,445.00 1 week ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr