As a Business Data Scientist in YouTube Business Go-To-Market (GTM) Impact Measurement team you will work with business leaders to help shape the future of YouTube.
Requirements
- Experience in causal inference, A/B testing, statistical modeling, or Machine Learning.
- Experience in programming with SQL and Python, and in leveraging ML or statistical libraries (e.g. TensorFlow, Scikit-learn, XGBoost, Keras, Pandas).
- Experience in Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, and R.
- Experience drawing conclusions from data, breaking down technical concepts into simple terms, connecting with, and presenting to, technical and non-technical stakeholders, and recommending actions.
- Publications related to Data Science, posters or presentations in AI/ML conferences, or patents.
Responsibilities
- Design and execute causal studies to address critical business questions.
- Leverage advanced statistical models to find business insights in experimental and observational data.
- Present and communicate actionable insights and recommendations to executives and cross-functional partners.
- Serve as a peer reviewer and consultant for causal studies across the organization.
- Leverage rigorous techniques from causal inference, advanced statistical modeling, and Machine Learning (ML).
- Determine the best approach for solving problems, and communicate clearly with decision-makers who may or may not have a strong technical background.
- Use a large set of tools from experimental to observational techniques, touching on a broad range of problems from different functional and product areas.
Other
- Master's degree in a STEM field or equivalent practical experience.
- 3 years of industry or PhD Data Science experience.
- PhD in a STEM field.
- Experience in a Data Science role supporting Sales, Marketing, or Customer Support.
- San Bruno, CA, USA; Mountain View, CA, USA; New York, NY, USA
