Data Science: AI Experiences PhD Internship Opportunities - Redmond

Comeapply your academic skillsto solve real world industry problemsat scaleand do your best work at Microsoft! The complexity of the space and technical challengesof thisopportunity will help you grow your skillset by collaborating with tenured PhDs across multiple disciplines (Computer Science, Statistics, Economics, etc.).

Commerce, Content, and Monetization (CCM)is a 3,000+ personproduct,engineering, and datascienceorganization where AI, content, commerce, and advertising converge. We build the technologies that power content and product discovery for billions of user interactions,helping people find what matterswhile driving a $10B+ business.

From large-scale recommendation systems and AI-powered experiences to high-performance serving platforms, our teams tackle complexengineering challengesat extraordinary scale, processing millions of requests per second across billions of content and commerce signals. The solutions we build directly influence user experiences, advertiser success, and business growth.

As a Data Scientist PhD InterninCCM,you'llwork alongside exceptional data scientistsin diverse fieldsto solvemeaningful problemswith global reach and measurable impact.Someexampleproblem areas may include personalized content and product discovery, recommendation, ranking, and search, and advertising and commerce measurement.You will use machine learning, statistics,controlledexperiments, and/orAI-powered experiences, includingLLMs, SLMsand agentsto build and improvegreat productswhile making business impact. You will collaborate with stakeholders, formulate approaches to solveproblems,and use algorithms and data sources in the context of business and engineering needs. You will also be able tocombine your engineering abilitieswith analytical skills to make customer experiences better.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployees,we come together with a growth mindset, innovate and empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Pleasenotethis application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please seeourCareers site.

• 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.

• Applyappropriate 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 toidentifyopportunities 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.

Required Qualifications:

• Currently pursuing a Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or relatedfield.

• Must have at least oneadditionalquarter/semester of schoolremainingfollowing the completion of the internship.

• Candidatemust be enrolled in afull timebachelor's,masters, MBA, or PhD program inarearelevant for the role during the academic termimmediatelybefore their internship.

Preferred Qualifications:

• Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.

• Proficiencyusing one or more programming or scripting language to work with data such as: Python, Perl, or C#.

• Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.

• Some experience and or projectcoursework with product and service telemetry systems.

• Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal.

• Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data.