Business Data Scientist Intern, PhD, Summer 2027

About the role

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 of technology's greatest

challenges and make an impact on millions, if not billions, of users. At Google,

engineers not only revolutionize search, they routinely work on massive

scalability and storage solutions, large-scale applications and entirely new

platforms for developers around the world. From Google Ads to Chrome, Android to

YouTube, Social to Local, Google engineers are changing the world one

technological achievement after another.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $118000 - $157000 (USD) + 0% bonus target

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Work with large complex data sets, solve difficult non-routine analysis

problems, and apply advanced analytical methods. Conduct analysis that

includes data gathering and requirements specification, processing, analysis,

ongoing deliverables, and presentations.

• Build and prototype analysis pipelines iteratively to provide insights at

scale. Develop a comprehensive understanding of Google data structures and

metrics, advocating for changes.

• Interact cross-functionally, making business recommendations (e.g.,

cost-benefit, forecasting, experiment analysis) with effective presentations

of findings at multiple levels of stakeholders through visual displays of

quantitative information.

• Develop and automate reports, and iteratively build and prototype dashboards

to provide insights at scale, solving for business priorities.

• Design and analyze controlled experiments or counterfactual causal inference

studies to examine the incremental impact of business, product, or

go-to-market initiatives.