Research Data Scientist, YouTube Emerging Experiences

Google • San Bruno, CA

2d

About The Position

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.

Emerging Experiences and Community (EMCO) builds new experiences that are at the
intersection of creation and consumption. Through our work on YouTube’s new and
emerging consumer experiences, we empower both our viewers and creators to
engage more deeply with one another, building and fostering communities.
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.

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 [https://careers.google.com/benefits/].

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level