Business Data Scientist Intern, PhD, Summer 2027

MINIMUM QUALIFICATIONS

• Currently pursuing a PhD degree in a quantitative discipline (e.g.,

statistics, biostatistics, physics, applied mathematics, operations research, economics).

• Experience with statistical methods (i.e., linear models, multivariate

analysis, stochastic processes, sampling methods, etc.).

• Experience with statistical software (e.g., R, Python, MATLAB) and database

languages (i.e., SQL).

PREFERRED QUALIFICATIONS

• Currently attending a degree program in the US and available to work full

time for 12 weeks outside of university term time.

• In their penultimate academic year or returning to a degree program after

completion of the internship.

• Experience leveraging data insights into storytelling for business

stakeholders.

• Experience in controlled experiment design and causal inference methods.

• Ability to prioritize requests and partner well in an environment with

competing demands from stakeholders.

ABOUT THE JOB

As a Business Data Scientist, you will be a subject matter specialist for translating business problems from your supported organization or functional area into analytical solutions and insights. You will provide technical mentorship in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business. You will create and implement reused and scaled solutions within the team's development process. You will collaborate with supported teams and win stakeholder trust by translating business needs into tractable analyses or evaluation metrics. You will work closely with product and engineering teams to analyze impact on product or Google-wide metrics (including daily activities, retention, churn).

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some o