Research Data Scientist, YouTube Emerging Experiences

About the Job

In this role, you will be a part of YouTube Data Science, a team that directly influences and informs YouTube’s product and engineering leadership as we have a long history of working on projects that are at the heart of the business and have a seat at the table when it comes to the decisions that drive YouTube's continued success. The Data Science team advises on strategy, metrics, and product changes that improve these 0 to 1 experiences for our users. Our mission is to improve decisions at YouTube with science.

The US base salary range for this full-time position is $174,000-$252,000 + 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.

Responsibilities

• Engage with stakeholders across cross-functional projects and team settings to identify and clarify business or product questions to answer, while providing feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Leverage custom data infrastructure or existing data models as appropriate, using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent.
• Work with the engineering and product teams to create new metrics, maintain classifiers, enable insights, and drive data-driven decision making.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python), formatting, re-structuring, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
• Support launch decisions through experimental design and analysis.
  

Qualifications

Minimum qualifications:

• 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.
• Experience with forecasting/time series.

Preferred qualifications:

• 8 years of work experience using analytics to solve product or business
  problems, coding (e.g., Python, R, SQL), querying databases or statistical
  analysis, or 6 years of work experience with a PhD degree.
  
• Experience in the gaming or XR industry.
• Experience with feed-based applications and user funnels.