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!
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