Senior Data Scientist, Research

Google is an engineering company that hires people with broad technical skills to take on technology's greatest challenges and make an impact on millions of users.
$150,000 - $223,000
Data
Senior Software Engineer
Contact Company
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Scientist, Research

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 excellence and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.

Responsibilities:

  • 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, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Last updated 3 months ago

Responsibilities For Senior Data Scientist, Research

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
  • Gather information, business goals, priorities, and organizational context around the questions to answer
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python)

Requirements For Senior Data Scientist, Research

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 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 3 years of work experience with a PhD degree

Interested in this job?

Jobs Related To Google Senior Data Scientist, Research

Senior Data Scientist, Research, Ads

Senior Data Scientist position at Google focusing on advertising research and analytics, requiring strong quantitative skills and 5+ years of experience.

Senior Business Data Scientist, Revenue Acceleration, Google Cloud

Senior Business Data Scientist role at Google Cloud focusing on revenue acceleration through data-driven strategies and ML solutions.

Senior Data Scientist, Research

Senior Data Scientist position at Google, focusing on product research and improvement through advanced analytics and statistical modeling.

Senior Data Scientist, Research, Ads Metrics

Senior Data Scientist position at Google focusing on Ads Metrics research, requiring strong analytical skills and 5+ years of experience.

Senior Data Scientist, Research, Ads Metrics

Senior Data Scientist position at Google focusing on Ads Metrics research and analysis using advanced analytics and machine learning.