Data Scientist III, Product, Search

Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
  
• 1 year of experience managing analytical projects.
  

Preferred qualifications:

• 3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
• Experience working with Engineers and Product Managers, around providing product-centric insights, extracting large sets of data with SQL and in designing ETL flows.
• Experience in developing models (e.g., statistical and causal inference, classification methods).
• Experience in identifying opportunities for product improvement and defining/measuring the success of those initiatives.
• Experience analyzing user behaviors in consumer apps, and linking those behaviors to business outcomes.

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

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.

The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

• Perform analysis by utilizing relevant tools (e.g., SQL, R, Python), using comprehensive technical knowledge, use custom data infrastructure or existing data models.
  
• Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  
• Provide insights and recommendations to influence product feature development decisions, and with some guidance.
  
• Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.
  
• Partner with Product, Engineering, and cross-functional teams to influence, prioritize, and support product strategy around the iOS Google App's entry points, surfaces, and new product development opportunities.