Business Data Scientist, YouTube Transparency and Compliance Metrics

Google
San Bruno, California, United StatesFull-time$138,000–$197,000Posted Aug 31, 2026

About the role

MINIMUM QUALIFICATIONS:

  • Master's degree in a quantitative discipline such as Statistics, Engineering,

Sciences, or equivalent practical experience.

  • 3 years of experience using analytics to solve product or business problems,

coding (e.g., Python, R, SQL), querying databases or statistical analysis, or

a relevant PhD degree.

  • Experience working on data projects or establishing foundational data

infrastructure, in the trust and safety, risk and compliance, or a related

field.

PREFERRED QUALIFICATIONS:

  • 4 years of experience using analytics to solve product or business problems,

coding (e.g., Python, R, SQL), querying databases or statistical analysis, or

a relevant PhD degree.

ABOUT THE JOB:

Google's leadership team hand-picks thorny business challenges, and members of

BizOps work in small teams to find solutions. As part of this team you fully

immerse yourself in data collection, draw insight from analysis, and then zoom

out to develop compelling, synthesized recommendations. Taking strategy one step

further, you also persuasively communicate your recommendations to senior-level

executives, roll-up your sleeves to help drive implementation and check back-in

to see the impact of your recommendations.

With a constantly growing and evolving ecosystem, we believe it’s critical not

only to use data internally to run our business and drive the decisions we make,

but also to help the world understand more about our platform. YouTube’s Claims

team sits in the middle of Product, Trust & Safety, Policy, Comms, Sales,

Marketing, Legal and many other functions. This group is tasked with defining

our policies and developing strategies for how we share information externally

as well as the process for validating the data we do share in external reports,

press, events, and more.

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.

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

experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

  • Deliver data for transparency reporting globally, moving from our current

report-focused approach to a holistic, scaled production and validation

strategy.

  • Develop and evaluate new statistical models and metrics for measuring our

business in a way that is appropriate for regulatory reporting.

  • Curate and validate data to ensure quality standards are met.
  • Collaborate with stakeholders to understand the domain, business goals, and

data infrastructure context.

  • Execute against project timelines and milestones to meet evolving business

needs, working with cross-functional teams to ensure successful delivery of

data products and solutions.

Responsibilities

  • Deliver data for transparency reporting globally, moving from our current report-focused approach to a holistic, scaled production and validation strategy.
  • Develop and evaluate new statistical models and metrics for measuring our business in a way that is appropriate for regulatory reporting.
  • Curate and validate data to ensure quality standards are met.
  • Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.
  • Execute against project timelines and milestones to meet evolving business needs, working with cross-functional teams to ensure successful delivery of data products and solutions.

Qualifications

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Benefits

  • 15% bonus target
  • equity
  • benefits

Skills mentioned

PythonRSQLData AnalysisStatistical AnalysisStatistical ModelingModel EvaluationData EngineeringData PipelinesData Warehousing

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

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