PhD Business Data Scientist Intern: ML & Insights

Google LLC

Madison (WI)

On-site

USD 118,000 - 157,000

Full time

13 days ago

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Benefits offered by this job

Health insurance
Sick time 40h/yr
Holidays 13 days/yr

Job summary

Google LLC invites a Business Data Scientist Intern, PhD, Summer 2027. This role targets students in their penultimate year pursuing a PhD in quantitative fields, with expertise in statistical methods and ML/AI research.

Location preferences include the US; English proficiency is required for collaboration across teams. The internship emphasizes translating business problems into analytical solutions, building scalable data pipelines, and delivering insights that influence product decisions.

Qualifications

  • Currently pursuing a PhD in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, economics).
  • Experience with statistical methods and software (R, Python, MATLAB) and SQL.
  • English proficiency and eligibility to work in the United States for the duration of the internship.
  • Strong research background and demonstrated ability to publish in ML/AI venues is a plus.

Responsibilities

  • Translate business problems into analytical solutions and insights.
  • Develop data science solutions, improve data pipelines, and implement evaluation metrics.
  • Build reusable statistical models and prototypes to impact product metrics.
  • Collaborate with product and engineering teams and communicate findings to stakeholders.
  • Design experiments and analyze results to inform business decisions.

Skills

Statistical methods
R
Python
MATLAB
SQL

Education

PhD candidate in quantitative discipline

Tools

Cursor
Codex
Claude Code

Job description

Google LLC invites a Business Data Scientist Intern, PhD, Summer 2027. This role targets students in their penultimate year pursuing a PhD in quantitative fields, with expertise in statistical methods and ML/AI research.

Location preferences include the US; English proficiency is required for collaboration across teams. The internship emphasizes translating business problems into analytical solutions, building scalable data pipelines, and delivering insights that influence product decisions.

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