Data Scientist

About the role

MINIMUM QUALIFICATIONS:

• Master’s degree in Computer Science, Statistics, Mathematics, Data Science,

Economics, Physics, Operations Research, or a related field and 3 years of

experience in the job offered or in a Data Scientist-related occupation.

• Alternatively, will accept a Ph.D. in Computer Science, Statistics,

Mathematics, Data Science, Economics, Physics, Operations Research, or a

related field.

• Position requires: Developing metrics and analyzing data to support strategic

decisions; Building statistical machine learning models for both offline

analysis and production-scale applications; research new methods for

experimentation and statistical inference; Python or R for statistical

analysis and algorithms; SQL for querying databases; and Presenting analyses

and visualizing data from experiments, forecasting, and model prediction.

ABOUT THE JOB:

At YouTube, we believe that everyone deserves to have a voice, and that the

world is a better place when we listen, share, and build community through our

stories. We work together to give everyone the power to share their story,

explore what they love, and connect with one another in the process. Working at

the intersection of cutting-edge technology and boundless creativity, we move at

the speed of culture with a shared goal to show people the world. We explore new

ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $174,550 - $211,000 +

15% bonus target + equity + benefits determined by role, level, and location.

Individual pay is determined by additional factors, including job-related

skills, experience, and relevant education or training. Learn more about

benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

Position reports to the Google San Bruno, CA office & may allow for a hybrid

schedule per Google policy.

RESPONSIBILITIES:

• Collaborate with stakeholders to translate business needs into clear

analytical questions, evaluation metrics, and mathematical models.

• Gather business goals, organizational context, and information regarding

existing and upcoming data infrastructure to guide your analysis.

• Extract and compile large-scale data from multiple sources using tools such

as SQL, R, and Python.

• Validate and prepare datasets for analysis by formatting, re-structuring, and

ensuring data quality and integrity.

• Design and evaluate sophisticated models to mathematically solve complex

problems with limited precedent. Apply scientific and statistical methods to

evaluate and improve Google's products for millions of users worldwide.