Data Scientist Intern — Analytics & Strategy

Google; Ann Arbor (MI); On-site; USD 94,000 - 125,000; Part time

Benefits offered by this job

Health insurance

Sick Time 40 hours/year

Holidays 13 paid days per year

Job summary

Google’s Data Scientist internship is designed for US-based students in their penultimate year pursuing a Master’s in a quantitative field. The role emphasizes quantitative analysis, data-driven decision making, and communication of insights to partners across Engineering and Product Management.

Applicants should have experience with SQL and statistical packages (R, SAS, Stata, MATLAB) and be able to translate analysis into business recommendations.

Qualifications

• Currently pursuing a Master’s degree in a quantitative field (e.g., statistics, computer science, engineering, mathematics, data sciences).
• Experience working with statistical packages (R, SAS, Stata, MATLAB).
• Experience articulating product questions, pulling data from datasets (SQL), and using statistics to arrive at an answer.

Responsibilities

• Conduct data analysis to make business or product recommendations (cost-benefit, forecasting, impact analysis).
• Deliver effective presentations of findings to stakeholders, with clear visual displays of quantitative information.
• Collaborate with cross-functional stakeholders to understand business needs, perform data gathering, analysis, and ongoing deliverables.
• Help Google focus on key decisions to improve products and services.

Skills

Statistics

SQL

Data analysis

Storytelling with data

Education

Master's degree in a quantitative field

Tools

R

SAS

Stata

MATLAB

Job description

Google’s Data Scientist internship is designed for US-based students in their penultimate year pursuing a Master’s in a quantitative field. The role emphasizes quantitative analysis, data-driven decision making, and communication of insights to partners across Engineering and Product Management.

Applicants should have experience with SQL and statistical packages (R, SAS, Stata, MATLAB) and be able to translate analysis into business recommendations.