About the role#
As a Data Science PhD intern, you will join the Commerce, Content, and Monetization organization to solve technical challenges at scale. You will work alongside experienced scientists to apply machine learning, statistical modeling, and causal inference to real-world data. Your work will influence products that serve millions of users and support a large-scale business. You will own a scoped project from initial problem definition through to final recommendation.
What you'll do#
- Own a scoped data science project from problem definition and metric selection through analysis, validation, and recommendation.
- Analyze large-scale behavioral, content, commerce, and advertising data using SQL, Python, R, or comparable tools.
- Design, execute, and interpret experiments, including defining success metrics, guardrails, and statistical limitations.
- Apply methods such as causal inference, statistical modeling, machine learning, or evaluation frameworks to answer product and business questions.
- Develop or improve metrics and monitoring approaches that reflect user experience and sustainable business value.
- Partner with product managers, engineers, applied scientists, economists, and business stakeholders to identify opportunities and influence product decisions.
- Communicate methods, findings, uncertainty, and recommendations clearly to technical and nontechnical audiences.
- Participate in peer reviews, incorporate feedback, and document work so that results are reproducible and actionable.
What you'll need#
- Currently pursuing a Doctorate degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field.
- Must have at least one additional quarter or semester of school remaining after the internship concludes.
- Must be enrolled in a full-time academic program during the term immediately before the internship.
- Engineering experience or project coursework using large data systems like SQL or Hadoop.
- Proficiency in at least one programming or scripting language, such as Python, Perl, or C#.
- Experience or project coursework performing data analysis with tools like Excel, R, MATLAB, AMPL, or SAS.
- Familiarity with product and service telemetry systems.
- Experience with A/B testing, experimentation, or hypothesis testing.
- Experience or coursework applying basic machine learning to data or using algorithms to conduct experiments.
Location & details#
- Location: Redmond, Washington, United States.
- Modality: On-site.
- Employment: Full-time internship.
- Hiring process: Rolling.
About Microsoft
Microsoft is a public company based in Redmond, Washington. It develops software, hardware, and cloud computing services. The company operates in 190 countries and employs approximately 233,210 people. Its products include operating systems, developer tools, and business software.
How to get in at Microsoft
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