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 3000 personproductengineering and datascienceorganization where AI content commerce and advertising converge. We build the technologies that power content and product discovery for billions of user interactionshelping 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 InterninCCMyoullwork alongside exceptional data scientistsin diverse fieldsto solvemeaningful problemswith global reach and measurable areas may include personalized content and product discovery recommendation ranking and search and advertising and commerce will use machine learning statisticscontrolledexperiments and/orAI-powered experiences includingLLMs SLMsand agentsto build and improvegreat productswhile making business impact. You will collaborate with stakeholders formulate approaches to solveproblemsand 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.

Microsofts mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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 methodssuch as causal inference statistical modeling machine learning or evaluation frameworksto 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 timebachelorsmasters MBA or PhD program inarearelevant for the roleduring 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.