Data Scientist, Search AI Mode

Key Skills

Aartificial intelligence, Data science techniques, Python Programming, SQL

Job Description

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

• PhD degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, biostatistics, computer science, mathematics, physics etc).
• Experience working on a consumer-facing product.
• Experience with effective experimental design, training and in areas such as data analysis, survey design, statistical modeling.
• Familiarity with statistical tools/software packages (e.g., Python, SQL etc.).
• Ability to apply an appropriate quantitative/statistical model to real-world business problems.
• Ability to quickly learn new skills and adapt to a changing environment.

About the job

The mission of Search AI Mode Data Science team is to leverage data, measurement methodologies, analysis insights and modeling to help push the frontiers of Search in the context of latest GenAI capabilities and unlock new ways/use cases on how billions of users interact with Google search.The US base salary range for this full-time position is $141,000-$202,000 + 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

• Interact cross-functionally with a wide variety of teams, and work closely with Product Manager and Engineer leads to identify growth and quality opportunities for the product.
• Conduct analyses of datasets, applying statistical methods to solve problems, and presenting actionable recommendations to stakeholders. Your insights will influence product development, improve user experiences, and drive business outcomes.
• Understand, evaluate and develop measurement methodologies for GenAI models.
• Drive innovation by adapting to frequent pivots and comfortably managing the ambiguity of this rapidly evolving field