Business Data Scientist, Impact Measurement - Google : Job Details

Business Data Scientist, Impact Measurement role at Google. Join to apply for the Business Data Scientist, Impact Measurement role with Google.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA; New York, NY, USA.

• Master's degree in a STEM field or equivalent practical experience.
• 3 years of industry or PhD Data Science experience.
• 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).

• PhD in a STEM field.
• Experience in a Data Science role supporting Sales, Marketing, or Customer Support.
• 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.

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. You will leverage rigorous techniques from causal inference, advanced statistical modeling, and Machine Learning (ML). You will determine the best approach for solving problems, and communicate clearly with decision-makers who may or may not have a strong technical background.

You will be a detail-oriented problem-solver with broad knowledge of causal inference, Bayesian statistics, and ML. You will use a large set of tools from experimental to observational techniques, touching on a broad range of problems from different functional and product areas. You will be comfortable in taking on various roles, and be passionate about conducting causal studies and helping stakeholders implement data driven decisions. Creative problem-solving and stakeholder management skills are critical.

Effective data scientists on this team keep up with advances in the causal inference literature. When available methodologies are not well suited for the problem you are trying to solve, you will be encouraged to develop new methods in collaboration with your teammates. You will also attend relevant conferences and organize internal events to keep the toolkit updated and to educate the broader Google community.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

• Seniority level: Not Applicable
• Employment type: Full-time

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