Data Scientist

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 $164,450 - $211,000 + 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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

Minimum qualifications:

• Master’s degree in Statistics, Data Science, 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.
• Alternatively, will accept a Ph.D. in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• Position requires:

  • Applying statistical or optimization models to solve business problems

  • Python or R for statistical analysis and algorithms

  • SQL for querying databases

  • Extracting and manipulating large datasets that exceed computer memory

  • Presenting and defending quantitative solutions, novel statistical methodologies, models, metrics and evaluation strategies to senior leadership and explaining statistical concepts to non-quantitative audiences