Microsoft Commerce, Content, and Monetization (CCM) seeks a Data Scientist PhD Intern to work on large-scale data science projects involving personalized content/product discovery, recommendation, ranking, search, advertising, and commerce measurement. Responsibilities include owning scoped projects, analyzing large datasets with SQL, Python, R, designing and interpreting experiments, applying causal inference, statistical modeling, and machine learning methods, developing metrics, collaborating with cross-functional teams, and communicating results. Candidates must be currently enrolled full-time in a relevant doctoral program with at least one academic term remaining after the internship. Preferred skills include experience with large data systems (SQL, Hadoop), programming (Python, Perl, C#), data analysis tools (Excel, R, MATLAB, AMPL, SAS), telemetry systems, A/B testing, and basic machine learning. The internship is full-time, on-site in Redmond, Washington. Monthly pay ranges from $6,810 to $13,480 USD, with higher pay in certain metro areas.
What you'll do
Own a scoped data science project from problem definition and metric selection through analysis, validation, and recommendation
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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 reflecting 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 for reproducibility and actionability
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
Enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before the internship
Some engineering experience or project coursework using large data systems on SQL, Hadoop, etc.
Proficiency using one or more programming or scripting languages such as Python, Perl, or C#
Some experience or coursework performing data analysis and applying statistics with tools such as Excel, R, MATLAB, AMPL, or SAS
Some experience or coursework with product and service telemetry systems
Some A/B testing or experimentation experience (preferred)
Some experience or coursework applying basic machine learning and algorithms to data
Certain roles may be eligible for benefits and other compensationMicrosoft values inclusion and provides accommodations for disabilities and religious needs
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