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Senior Data Scientist, Search (Real World Journeys)

Senior Data Scientist, Search (Real World Journeys)

2 Weeks ago • 3-8 Years • Data Analyst

About the job

Summary

Google Search is reimagining information search. This Senior Data Scientist role focuses on "Real World Journeys," requiring collaboration with stakeholders to define and solve complex business problems using data. Responsibilities include translating business questions into analytical models, designing and evaluating these models, gathering and processing data (using SQL, R, Python), and ensuring data quality. The role demands strong communication skills to convey technical concepts clearly to diverse audiences. The ideal candidate will have significant experience in quantitative analytics, solving product/business problems, and working with large datasets. This role contributes directly to improving Google Search's user experience globally.

5 skills required for this role

Test your skills to join the top 1% applicants for this job

unity

python

sql

data-science

communication

Must have:

Master's degree in quantitative field
5+ years experience (or 3+ with PhD)
Fluency in English and Portuguese
Proficiency in Python, R, SQL
Data analysis and modeling skills
Excellent communication skills

Good to have:

PhD in quantitative field
8+ years experience (or 6+ with PhD)
Experience with large-scale data infrastructure
Experience in Search or related field

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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.
Ability to communicate in English and Portuguese fluently to support client relationship management in this region.

Preferred qualifications:

PhD in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, Compute Science, or a related quantitative field.
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.
5 years of experience in quantitative analytics solving product or business problems, coding (e.g., Python, SQL), querying databases, or statistical analysis.
Excellent communication and team collaboration skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at many different levels.

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

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.

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.