Senior Data Scientist, Product, Googler Technology and Engineering

Senior Data Scientist, Product, Googler Technology and Engineering

Applicants in San Francisco : Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

By applying to this position, you will have an opportunity to share your preferred working location from the following : San Francisco, CA, USA; New York, NY, USA; Sunnyvale, CA, USA

Minimum qualifications :

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.

Preferred qualifications :

About The Job

We partner with teams across the company to apply Google's best data science techniques to Google's biggest enterprise opportunities. We collaborate with Research, Core Enterprise Machine Learning (ML), and ML Infrastructure teams to build solutions for our enterprise.

The Google Technology Enterprise (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, Information Technology (IT) support, and internal tooling with Artificial Intelligence (AI) and Advanced Analytics. We enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. We also build cross-functional services for use across Corporate Engineering (Corp Eng) and educate product teams on advanced analytics and machine learning.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Responsibilities

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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