Data Scientist III, Product

Requirements:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).

Nice to haves:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
• 1 year of experience with AI Algorithms.

What you'll be doing:

• Automate data extraction from extensive geospatial datasets to build comprehensive reporting and monitoring dashboards that track business health.
• Conduct large-scale data modeling and analysis to discover strategic improvement opportunities and accurately evaluate initiative impact.
• Design and develop statistical methodologies to evaluate data quality while performing thorough root cause analysis on failure cases.
• Present data-driven findings and insights to key stakeholders in regular syncs, making strategic recommendations to guide product or process enhancements.
• Identify and prioritize high-impact growth opportunities and critical operational challenges, delivering execution and noticeable improvements based on continuous feedback.

Perks and benefits:

• Opportunity to work with Google's worldwide user base of more than a billion people.
• Data Scientists provide quantitative support, market understanding, and a strategic perspective to partners throughout the organization.
• Analytical role where you can make critical recommendations and communicate findings to team leaders.