Microsoft
Data Science - Forward Deployed Engineer: PhD Internship Opportunities
Redmond, WA · On-site · Internship · Posted Oct 20, 2026
- Experience
- Preferred: 2+ years of programming experience; 1+ year delivering data science or machine learning projects in collaborative teams; 2+ years developing and applying statistical methods, machine learning algorithms, data structures, or optimization techniques.
- Education
- Currently pursuing a Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field. Must also meet the stated full-time enrollment requirement.
- Visa sponsorship
- Microsoft is unable to sponsor a work visa for any full-time position associated with this internship.
About the job
Develops and evaluates data science and machine learning models, experiments, and production solutions with customers and cross-functional teams to achieve measurable business outcomes.
What you'll do
- Prepare and assess data; develop, train, optimize, and evaluate statistical and machine learning models.
- Design and analyze controlled experiments, communicate findings, and connect technical metrics to business outcomes.
- Partner with engineering and other teams to deploy, monitor, and improve models and AI systems.
What they ask for
- Currently pursuing a doctorate in a listed or related field, with at least one academic quarter or semester remaining after the internship.
- Be enrolled full time in a relevant bachelor's, master's, MBA, or PhD program during the academic term immediately before the internship.
Nice to have
- Experience in programming, data science or machine learning projects, and statistical or optimization methods.
- Coursework, research, or applied experience in relevant methods and tools, including SQL and data science programming languages.
Pay
USD $6,810.00 - $13,480.00 per month (base pay); USD $8,920.00 - $14,610.00 per month (base pay, San Francisco Bay area and New York City metropolitan area)
Tools
SQL, Python, R, Java, Scala, C#
AI focus
Develop, deploy, evaluate, and improve AI and machine learning systems and models, including experiments and production performance.
Model-written summary · the original posting is authoritative