Business and Marketing Data Scientist

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering,

Physics, Economics or a related field and 1 year of experience in the job

offered or in a Business Marketing Data Scientist-related occupation.

• Position requires 1 year of experience in the following: Structured

programming with Python or R for data manipulation; Database querying using

SQL; Statistical analysis and algorithm execution using software

applications; Data extraction, manipulation, and cleaning for exploratory

data analysis or extraction and manipulation of large datasets exceeding

computer memory; and Explanation of statistical concepts to non-quantitative

audiences.

ABOUT THE JOB:

The US base salary range for this full-time position is $117,000 - $166,000 +

15% bonus target + equity + benefits determined by role, level, and location.

Individual pay is determined by additional factors, including job-related

skills, experience, and relevant education or training. Learn more about

benefits at Google.

[https://www.google.com/about/careers/applications/benefits/]

Position reports to the Google office & may allow for a hybrid schedule as per

Google policy.

The Global Business Organization (GBO) is the engine that powers Google’s full

ecosystem of products and services to help customers and partners succeed and

grow. GBO includes the commercial arms of Ads sellers, business development

teams, and customer services and support, as well as overlay programs that

enable coordinated engagement with Google's most complex and important customers

and partners.

RESPONSIBILITIES:

• Extract, compile, and validate data across multiple sources using SQL,

Python, or R while adhering to rigorous privacy and quality standards.

• Collaborate with stakeholders to translate complex business goals and

organizational context into tractable analysis, evaluation metrics, and

statistical models.

• Analyze datasets to identify product gaps, formulate conclusions, and

communicate actionable insights to internal teams like engineering and

product management.

• Create dashboards, tools, and defined metrics to automate reporting

workflows, inform product decisions, and track solution deployments.

• Write and integrate production-ready solution code to resolve technical

issues, validate new features, and optimize existing systems. Scale

repeatable solutions through comprehensive documentation, best practice

guides, tutorials, and ongoing cross-functional implementation support.