Data Science: AI Experiences PhD Internship Opportunities at Microsoft | AdTechTalent
Data Science11 days agoOn-site
Microsoft
Data Science: AI Experiences PhD Internship Opportunities
data sciencemachine learningstatisticscausal inferenceA/B testingSQLPythonRHadoopexperimentationrecommendation systemsadvertisingcommercetelemetryPhD internship
Key details
Salary
$7K – $13K
Employment type
Internship
Seniority
Entry
Years experience
0-2
Location
Redmond, United States
Full job description
Microsoft is hiring a Data Scientist PhD Intern in the Commerce, Content, and Monetization (CCM) organization based in Redmond, Washington. The role involves working on large-scale recommendation systems, AI-powered experiences, and high-performance serving platforms. Responsibilities include owning scoped data science projects, analyzing large-scale data with SQL, Python, or R, designing and interpreting experiments, applying causal inference, statistical modeling, and machine learning methods, developing metrics and monitoring approaches, collaborating with cross-functional teams, communicating findings, and documenting reproducible work. Candidates must be currently pursuing a doctorate degree in a relevant field, enrolled full-time, and have at least one academic term remaining after the internship. Preferred qualifications include engineering experience with large data systems, proficiency in programming languages such as Python, Perl, or C#, experience with data analysis tools like Excel, R, MATLAB, AMPL, or SAS, familiarity with telemetry systems, A/B testing, and basic machine learning. The internship is full-time, on-site in Redmond, WA, with a monthly salary range of USD 6,810 to 13,480, varying by location. Microsoft promotes an inclusive culture and provides accommodations during the application process.
What you'll do
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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 appropriate 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
Requirements
Currently pursuing a Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Must have at least one additional quarter/semester of school remaining following the completion of the internship
Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship
Some Engineering experience and/or project coursework using large data systems on SQL, Hadoop, etc.
Proficiency using one or more programming or scripting language to work with data such as Python, Perl, or C#
Some experience and/or project coursework performing data analysis and applying statistics working with tools such as Excel, R, MATLAB, AMPL, or SAS
Some experience and/or project coursework with product and service telemetry systems
Some A/B Testing or experimentation experience (can be from real life science experiments, hypothesis testing in stats, etc.) - not required but ideal
Some experience or coursework applying basic ML to a type of data and/or used algorithms to conduct experiments on data
Tech stack
SQLPythonRHadoopPerlC#ExcelMATLABAMPLSAS
Benefits
Certain roles may be eligible for benefits and other compensationMicrosoft values inclusion and offers accommodations for disabilities and religious needs during application process
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