The YouTube Business Go-To-Market team is responsible for driving go-to-market functions for the YouTube Business Organization, including strategy and business operations, analytics and data science, partnership enablement, and product activation. The team supports go-to-market priorities to accelerate growth and resource the business. As a Business Data Scientist in YouTube Business Go-To-Market Impact Measurement team, you will work with business leaders to help support the future of YouTube. ... more details
The YouTube Business Go-To-Market team is responsible for driving go-to-market functions for the YouTube Business Organization, including strategy and business operations, analytics and data science, partnership enablement, and product activation. The team supports go-to-market priorities to accelerate growth and resource the business.
As a Business Data Scientist in YouTube Business Go-To-Market Impact Measurement team, you will work with business leaders to help support the future of YouTube. You will have to leverage techniques from causal inference, advanced statistical modeling, and machine learning, and will be responsible for determining the best approach for solving problems, and communicating clearly with decision-makers who may or may not have a technical background.
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 $127,000-$187,000 + 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.
- Design and lead causal studies to measure the impact of YouTube Product Partnerships.
- Develop predictive models that can be used to inform business decisions.
- Present and communicate insights and recommendations to executives, leaders, and cross-functional partners.
- Serve as a peer-reviewer and consultant for causal studies designed by other teams and stay up to date with advances in the causal inference literature, and develop new methods and tools when appropriate.
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.
Preferred qualifications:
- PhD.
- 4 years of experience using analytics to solve product or business problems and coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
- Experience with Machine Learning.
- Experience with Bayesian Statistics.
