Senior Data Scientist, Real World Journeys, Research, Search

Google

Mountain View, CA

JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
A/B Testing, Analysis Skills, Artificial Intelligence (AI), Automotive Repair and Maintenance, Communication Skills, Computer Programming, Cross-Functional, Customer/Client Research, Data Science, Database Analysis, Economics, Equal Employment Opportunity (EEO), Experiment Design, Finance, Food Services, Google Search Engine, Improvement Metrics, Mathematics, Metrics, Operations Research, Physics, Problem Solving Skills, Product Engineering, Product Testing, Product/Service Launch, Python Programming/Scripting Language, Quality Metrics, R Programming Language, SQL (Structured Query Language), Search Agent, Search Technology, Statistics, Team Player, Technical Leadership, Thought Leadership, User Surveys
LOCATION
Mountain View, CA
POSTED
9 days ago
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.
  • Excellent problem-framing, problem-solving and team collaboration skills.
  • Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences across different levels.
  • Excellent coding skills with the ability to understand and update production codes.

About the job

As a part of Real World Journeys Experiences Data Science Team, you will support metrics research, and drive advanced analytics and user journey insights for numerous commercial search verticals, such as Google Flights, Hotels, Things to do, Food, Services, Auto, Finance etc.In this role, you will work cross-functionally with multiple technical leads from Search Engineering and Product to advanced metric capabilities. You will need to apply advanced modeling techniques (LLM, Gemini models) for ML based metrics, Human Evaluation methods and design research based on user-survey data. Your responsibilities include metric development, product performance investigation, experiment design, and user journey analysis.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve engineering issues 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.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Partner with Product and Engineering teams of Real World Journeys to provide analytical thought leadership, support metrics research and advanced statistical analysis of user journeys on search.
  • Collaborate cross-functionally with teams across Google Search, leading Search AI Mode experiences projects and future AI bets of Google Search, such as, Agentic Search.
  • Lead Human Evaluations and Auto-rater evaluations for Product launches.
  • Identify metric improvement areas, design new metrics and evaluation methods by working cross-functionally.
  • Support teams with advanced experimentation methods, detecting user learning effects and drive actionable user insights from deep A/B testing metrics analysis.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

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Google