Business and Marketing Data Scientist

About The Job

The US base salary range for this full-time position is $117,000 - $166,000. This includes a 15% bonus target and equity. Benefits are determined by role, level, and location. Individual pay is determined by job-related skills, experience, and relevant education or training. Position reports to the Google office and may allow for a hybrid schedule as per Google policy.

The Global Business Organization (GBO) 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, customer services and support, and overlay programs for coordinated engagement with Google's most complex and important customers and partners.

Key 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.

Requirements & Tech Stack

• SQL
• Python or R
• 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
• Explanation of statistical concepts to non-quantitative audiences

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field.
• 1 year of experience in the job offered or in a Business Marketing Data Scientist-related occupation.
• 1 year of experience in structured programming with Python or R for data manipulation.