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Open nowFirst seen 4 hours ago

Business Data Scientist, Trust and Safety, YouTube

Google3,315 open roles

Where
San Bruno, CA, USA; Mountain View, CA, USA
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Your applicationOpen nowBusiness Data Scientist, Trust and Safety, YouTubeGoogle · San Bruno, CA, USA; Mountain View, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 26 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 34.0%30 days
This job: first seen 4 hours ago

Google median: 26 days open

The posting

In most instances, this position requires in-person interviews as part of the hiring process. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA.

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.

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.
  • Experience architecting scalable enterprise AI solutions and Generative AI pipelines.
  • Experience in project management and process optimization with AI or data analytics.
  • Familiar with abuse prevention, policy and regulatory systems.
  • Proven ability to proactively take ownership of projects by setting and achieving milestones, synthesizing input from many stakeholders, managing multiple projects simultaneously, creating outputs appropriate to the audience(s) and driving final deliverables.
  • Excellent written and verbal communication skills.

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.

As a Business Data Scientist, you will work with key partners to develop business intuition and frame ambiguous safety issues into tractable problem formulations. With your expertise, you will help deliver on YouTube’s mission to give everyone a voice, show them the world, and build a community. Your role will be critical to YouTube by enabling efficient, high-quality, and precise operations to protect our global platform and users.

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.

Responsibilities

  • Develop, build, and measure performance on YouTube-wide abuse performance metrics and operational metrics (productivity, efficiency, timeliness, etc.), and generate insights to improve the business's ability to decrease the prevalence of violative content on the platform.
  • Lead the design, implementation, and scaling of metrics, analysis frameworks, and AI-based systems, creating standardized and defensible solutions applicable across products and violation areas.
  • Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly technical results and methods clearly.
  • Partner with Data Science, Product, Research, and Strategy teams to prioritize and execute sophisticated quantitative analyses and advanced modeling that deliver actionable insights.
  • Analyze processes to identify opportunities for improvement, define requirements, and collaborate cross-functionally and globally to improve processes and tools as AI-Native.
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