Minimum qualifications:

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

Preferred qualifications:

• PhD in Computer Science, Statistics, Economics, Engineering or Mathematics.
  
• 6 years of experience in data science or quantitative analytics with a focus on statistical modeling, machine learning, and AI.
• Experience with human evaluation data (e.g., surveys).

About the job

The Impact Measurement team designs and executes studies using advanced statistical methods. These studies generate insights that inform critical business decisions to help YouTube achieve its mission of giving everyone a voice and show them the world.

As a Business Data Scientist specializing in AI and Data Engineering, you will unlock valuable insights from diverse data sources. You will work on classifying video content, performing sentiment analysis on unstructured text, and extracting meaningful patterns from datasets. You will own the process of determining analytical approaches and will communicate findings to decision-makers across a range of technical backgrounds.

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 $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

• Extract insights from datasets, including unconventional sources like videos and open-text surveys using AI techniques.
• Present and communicate insights and recommendations to executives, leaders, and cross-functional partners.
  
• Serve as a peer-reviewer and consultant to other members of the team.
  
• Learn and share knowledge of the latest ML/AI advancements.