Google

Data Scientist, Search, Multimodal

Google$138K — $197K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field, such as Statistics or Data Science.
  • 5 years of experience in data analysis and coding (Python, R, SQL), or 2 years with a Master's degree.
  • Preferred Master's degree in a related quantitative field.
  • Strong understanding of statistical analysis and business problem-solving techniques.
  • Experience with multimodal data insights, particularly in enhancing user experiences.

Responsibilities

  • Drive growth analysis by examining user behavior patterns.
  • Conduct thorough analysis for product launches, including A/B tests to inform decisions.
  • Build and enhance the analysis infrastructure and tools for the team.
  • Stay updated on AI methodologies to improve analysis and insights.
  • Collaborate across teams to guide the development of voice interaction features.

Benefits

  • Comprehensive benefits package including health, retirement, and equity opportunities.
  • Generous paid time off and leave policies.
  • Opportunities for professional development and upskilling.
  • Supportive work environment fostering innovation and collaboration.
Full Job Description
Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).


About the job

The Search Multimodal Data Science team is at the forefront of shaping the future of search. Our mission is to deeply understand and enhance user experiences by leveraging data from inputs including images (Lens), voice, and contextual signals. We drive product strategy and innovation for some of Google's fastest-growing Search surfaces, ensuring our AI-first features are intuitive, effective, and power new ways for users to find information and complete tasks, any way, anywhere.

Within the Multimodal team, the Voice and Search Live Data Science team is dedicated to revolutionizing how users interact with Google through voice. Our mission is to deeply understand and enhance the end-to-end user journey for both established Voice Search, and the cutting-edge AIM Voice and Search Live product - our AI-powered, conversational, multi-turn experience. We leverage data to analyze user behavior, identify pain points and opportunities, design and interpret experiments, and define the metrics that guide the development of more natural, efficient, and intelligent voice-first interactions.

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: $138000 - $197000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Drive growth analysis and user understanding, delving deep into user behavior patterns, identifying opportunities for growth, and understanding the end-to-end user journey across our multimodal surfaces.
  • Conduct rigorous analysis for important launches, designing, implementing, and analyzing A/B tests and other experiments to measure the impact of new features and product changes, ensuring we make data-driven decisions.
  • Contribute to our analysis infrastructure and AI upskilling efforts, helping to build and refine the tools, pipelines, and best practices our team uses, while also staying at the forefront of AI techniques to enhance our problem-solving capabilities and unlock new insights.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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