Lead, YouTube Transparency and Compliance Data Science

1 Month ago • 7-13 Years • Data Analyst • $197,000 PA - $291,000 PA

Job Summary

Job Description

Lead YouTube's team responsible for data in external regulatory reports (transparency reports, audits, etc.). This role focuses on trust and safety data initially, expanding to other areas. Responsibilities include developing a holistic reporting strategy, improving data pipelines, analyzing workflows, proposing new models and metrics, leading project timelines, and coordinating across teams. The ideal candidate will have extensive experience in data science, using analytics to solve business problems, and proficiency in Python, R, and SQL. Strong leadership and project management skills are essential.
Must have:
  • Master's degree in quantitative field
  • 7+ years analytics experience
  • Proficiency in Python, R, SQL
  • Data pipeline improvement
  • Regulatory reporting expertise
  • Leadership & project management
Good to have:
  • 6 years Data Science experience
  • Machine learning/statistical library experience
  • Experience in a leadership role
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

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

Preferred qualifications:

  • 6 years of industry experience in a Data Science role using statistics and machine learning to solve product or business problems.
  • Experience in SQL and Python programming, including the application of machine learning or statistical libraries.
  • Experience in a leadership role.

About the job


You will lead the team that focuses on evolving YouTube’s approach to the data we share in external regulatory reports including transparency reports, audits, risk assessments, action plans, and more. You will begin with a focus on trust and safety related data, and eventually consider other regulatory reporting data that would benefit from this sort of scaled data strategy.

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.

The US base salary range for this full-time position is $197,000-$291,000 + 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 .

Responsibilities

  • Lead the team charged with delivering data for transparency reporting globally, developing an evolving holistic scaled reporting strategy.  
  • Understand the internal regulatory reporting data landscape/infrastructure, identify opportunities, and develop/execute plans to improve data pipelines for regulatory reporting.
  • Analyze existing workflows, identify pain points, and develop streamlined approaches that enhance efficiency and accuracy.
  • Propose and evaluate new models and metrics for our business regulatory reporting. Develop work plans, OKRs, etc. to ensure the team delivers on commitments to meet evolving business needs.
  • Lead project timelines and milestones, coordinating across teams to ensure delivery of data products and solutions.

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