Experienced Business Data Scientist for Impact Measurement - YouTube Business Strategy and Operations

Join Google's Remote Team as a Business Data Scientist and Drive Data-Driven Decision Making Google is seeking an experienced Business Data Scientist to join its YouTube Business Strategy and Operations team as part of the Impact Measurement group. As a Business Data Scientist, you will play a critical role in supporting YouTube's decision-making processes by translating business questions into data-driven insights and communicating findings to non-technical audiences. About the YouTube Business Strategy and Operations Team The YouTube Business Strategy and Operations team is responsible for driving go-to-market capabilities for the YouTube Business Organization, including strategy, business operations, analytics, and data science. The team shapes go-to-market priorities to accelerate growth, improves capabilities and competencies to support business execution, drives performance across business operations, and builds robust go-to-market infrastructure. Key Responsibilities Design and lead causal research with the clear goal of answering business questions, and present actionable insights and recommendations to executives, business leaders, and cross-functional partners. Serve as a peer-reviewer and representative for causal research designed by other teams, ensuring the highest quality and integrity of research. Stay updated with advances in the causal inference literature, and develop new methods when appropriate to drive innovation and improvement. Collaborate with stakeholders to articulate business and product questions, and pull data from datasets using SQL and statistical tools. Communicate complex data insights to non-technical audiences, being clear about uncertainty and assumptions used in analysis. Minimum Qualifications To be considered for this role, you must have: A Master's degree in Computer Science, Mathematics, Applied Data, Machine Learning, or equivalent practical experience. Experience articulating business and product questions, and pulling data from datasets using SQL and statistical tools (e.g., R, SAS, Stata, MATLAB, etc.). Internship or experience with data evaluation, demonstrating a strong understanding of data analysis principles and practices. Preferred Qualifications To stand out as a candidate, you should have: Experience with Bayesian hierarchical models, Bayesian Additive Regression Trees (BART), Bayesian Causal Forest (BCF), Gaussian Processes, and Synthetic Control techniques. Experience designing and studying randomized controlled trials, and causal research using observational data. Experience with statistical data evaluation, including linear models, multivariate analysis, stochastic models, and sampling techniques. A strong understanding of causal inference literature and methods, with the ability to develop new methods when appropriate. What You'll Gain As a Business Data Scientist at Google, you will have the opportunity to: Work on high-impact projects that drive business growth and decision-making. Collaborate with cross-functional teams, including business leaders, product managers, and engineers. Develop and apply advanced data analysis and causal inference techniques to drive business outcomes. Communicate complex data insights to non-technical audiences, driving data-driven decision-making. Stay up-to-date with the latest advances in data science and causal inference, driving innovation and improvement. Compensation and Benefits The US base salary range for this full-time role is $124,000-$182,000 + bonus + equity + benefits. Google's compensation packages are designed to be competitive and reflect the company's commitment to attracting and retaining top talent. In addition to compensation, Google offers a range of benefits, including: Flexibility: Remote work options that allow for better work-life balance and the ability to work from anywhere. Global Opportunities: Collaboration with diverse teams and professionals from around the world. Professional Development: Opportunities for skill-building, training programs, and career development projects. Workplace Wellness: Resources and support for maintaining a healthy work-life balance and accessing well-being programs. Inclusive Work Culture: A culture that values diversity, equity, and inclusion, with opportunities to contribute to the company's success from anywhere. Why Join Google? Google is a company that is known for its innovation, technological advancements, and commitment to making a positive impact on a global scale. As a Business Data Scientist at Google, you will have the opportunity to be part of a team that is shaping the future of technology and driving business growth. By joining Google, you will become part of a community that values collaboration, creativity, and inclusivity. You will have access to cutting-edge technology and tools, as well as opportunities for professional development and growth. Conclusion If you are a motivated and experienced Business Data Scientist looking to drive data-driven decision-making and make a meaningful impact, we encourage you to apply for this role. With its competitive compensation package, flexible work arrangements, and opportunities for professional growth, Google is an ideal place to build a career. To learn more about this opportunity and to apply, please visit our website. We look forward to hearing from you! Apply for this job