Google

Senior Data Scientist, Research, Google Search, Real World Journeys

Google$174K — $252K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a quantitative field (Statistics, Data Science, etc.)
  • 5 years of analytics experience in product or business contexts (or 3 years with a PhD)
  • Proficiency in coding (Python, R, SQL) and statistical analysis
  • Experience with querying databases and solving complex problems
  • Preferred: 8 years of analytics experience or 6 years with a PhD.

Responsibilities

  • Frame and address ambiguous business challenges; communicate findings to non-technical stakeholders.
  • Collaborate and influence cross-functional teams as a strategic thought partner.
  • Clearly and persuasively articulate insights to senior leadership.
  • Utilize machine learning and statistical methods to solve business issues.
  • Conduct thorough data explorations to uncover actionable insights and inform strategies.

Benefits

  • Comprehensive health and wellness programs
  • Retirement savings plan with employer contribution
  • Generous paid time off and family leave
  • Professional development and educational assistance programs
  • Equity and performance bonus opportunities.
Full Job Description
info_outline
X 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.

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.


About the job

The Real World Journeys (RWJ) team's mission is to inspire action by connecting people with experiences that make life better. We are currently shaping the evolution of Google Search leveraging AI for initiatives like AI Mode and AI Overviews to ensure it remains the world's leading source of information. We empower users to accomplish their goals by acquiring and generating valuable content and forging strong partnerships that benefit both users and partners.

In this role, you will work cross-functionally with Engineering, Product, and UX leads to uncover new product avenues and shape strategic direction. Your work will be essential to determining the future of Google Search, utilizing emerging technologies to drive product innovation. You will apply advanced modeling techniques-including LLMs, causal inference, Machine Learning (ML)-to solve complex business problems and design robust, data-driven user research. Additionally, you will lead a series of initiatives to identify growth areas and challenges within our flagship verticals, harnessing AI to maximize Search capabilities

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
  • Frame and solve ambiguous business problems and communicate the results to a non-technical audience.
  • Interact cross-functionally, be a thought partner and influence a wide range of cross-functional teams.
  • Communicate clearly and persuasively to influence leadership.
  • Effectively apply machine learning, statistical analysis, and causal inference to address business challenges.
  • Perform in-depth data exploration from complex data to uncover insights and drive strategy.


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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