Data Scientist III, Research

Google; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Data Scientist to evaluate and improve its products, collaborating with engineers and analysts to apply statistical methods to large-scale data challenges. You will translate business questions into rigorous analyses and models, drawing on diverse data sources and technical tools.

Individual pay is determined by factors including skills, experience, and education. US: $147000 - $210000 (USD) plus 15% bonus target, equity and benefits.

Qualifications

• Master's degree in statistics, data science, mathematics, physics, economics, OR engineering or related quantitative field.
• 3 years of work experience using analytics to solve product or business problems with coding and data analysis.
• PhD degree or 5 years of analytics experience preferred.

Responsibilities

• Collaborate with stakeholders across projects to translate business questions into tractable analysis and metrics.
• Design and evaluate models to solve defined problems with limited precedent.
• Gather goals, priorities and data infrastructure context to inform analyses.
• Extract, format and validate data across sources using SQL, R, Python and related tools.

Skills

Analytics experience

Programming (Python/R/SQL)

Advanced degree

Education

Master's degree in a quantitative field

PhD degree

Tools

SQL

Python

R

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

About The Job

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.