Bayesian Statistics Jobs (NOW HIRING)

corporate_fare Google place Mountain View, CA, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• PhD degree in Economics, Statistics, Biostatistics or a related field, and experience in the job offered or in a Business and Marketing Data Scientist-related occupation.
• Position requires experience in the following: Causal inference; Bayesian statistics; Machine Learning; R or Python; and SQL.

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.

As a Business Data Scientist on the YouTube Business Go-To-Market Impact Measurement team, you will work closely with business leaders to help shape the future of YouTube. You will leverage rigorous techniques from causal inference, advanced statistical modeling, and machine learning. It will be your responsibility to determine the best approach for solving problems and to communicate clearly with decision-makers who may or may not have a strong technical background.

We are looking for a detail-oriented problem solver with broad knowledge of causal inference, Bayesian statistics, and machine learning. We use a large set of methodologies, ranging from experimental to observational techniques, touching on a broad range of problems from different functional and product areas. The ideal candidate is comfortable wearing multiple hats and is passionate about conducting causal studies and helping stakeholders implement data-driven decisions. Creative problem-solving and stakeholder management skills are critical.

Given the nature of the position, someone who loves to learn new things will be successful. Effective data scientists on our team keep up with advances in the causal inference literature. When existing methodologies are not well suited for the problem at hand, you will be encouraged to develop new methods in collaboration with your teammates and work with our summer interns on research projects. We also attend relevant conferences and organize internal events to keep our toolkit updated and to educate the broader Google community.

The US base salary range for this full-time position is $177,550 - $198,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .

Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.

• 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.
• Stay current with the latest advancements in causal inference.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.