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 [https://www.google.com/about/careers/applications/benefits/].
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.
and AI-based systems, creating standardized and defensible solutions applicable across products and violation areas.
results using them. Communicate highly technical results and methods clearly.
prioritize and execute sophisticated quantitative analyses and advanced modeling that deliver actionable insights.
requirements, and collaborate cross-functionally and globally to improve processes and tools as AI-Native.
Sciences, or equivalent practical experience.
coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
pipelines.
analytics.
achieving milestones, synthesizing input from many stakeholders, managing multiple projects simultaneously, creating outputs appropriate to the audience(s) and driving final deliverables.
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checked 4 days agoSource: the company job board. We last checked this job 8 days ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now.
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