Data Scientist III, Product, Looker

Key Skills

Data Analysis, Data science techniques, Leadership Skill, Planning and organization, Python Programming, R Programming, SQL

Job Description

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).
• Experience with SQL, Looker Modeling Language, and Bigquery.

Preferred qualifications:

• 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).

About the job

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.

As a Concord Looker team member, you will be supporting internal data warehouse, analytics, and BI initiatives. Our team is part of the Data Platform, providing essential services including generative AI infrastructure, Machine Learning (ML) services, BI, and data warehousing.

You will be analyzing user behavior on the Concord platform, including capacity forecasting and performance metrics. Leverage traditional and generative AI techniques for insightful analyses and develop self-service tools.

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.

Responsibilities

• Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, custom data infrastructure or existing data models.
• Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.
• Analyze user behavior within Concord (our internal Google Cloud data warehouse) using Looker and related tools.
• Execute data analysis and reporting projects based on business requests.
• Participate in on-call and support rotations to ensure smooth platform operation and assist users.