Data Scientist

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field and 5 years of experience in the job offered or in a Data Scientist-related occupation.

• Alternatively, will accept a PhD in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field and 3 years of experience in the job offered or in a Data Scientist-related occupation.

• Position requires: 3 years of experience in collecting and analyzing data using statistical methods or quantitative analysis to draw inferences, identify trends, and solve data-related problems; 3 years of experience in analyzing information and data to draw conclusions, generate solutions, evaluate outcomes, and develop actionable plans; 3 years of experience in applying a research skillset to track scientific developments and technological trends aligned with domain expertise; 3 years of experience in applying advanced, domain-specific quantitative and technical knowledge (Econometrics, Operations Research, Advanced Design of Experiments, or Bayesian Statistics) to complete work and support organizational priorities; and 1 year of experience in technical Leadership or Management of Research or Data Science teams.

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 $206,600 - $253,000 + 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.

Position reports to the Google office & may allow for a hybrid schedule per Google policy.

Responsibilities:

• Collaborate with cross-functional stakeholders to define business priorities and clarify product questions.

• Translate complex business goals into tractable analytical frameworks and evaluation metrics.

• Extract raw data across multiple sources using SQL and Python, and restructure and validate datasets to ensure high data integrity for analysis.

• Utilize specialized knowledge to navigate custom data infrastructure and existing data models.

• Design and evaluate novel mathematical models to solve defined problems with limited precedent. Mentor and support other data scientists  in a Tech Lead capacity.