Data Science - Forward Deployed Engineer: PhD Internship Opportunities

Microsoft•Redmond, WA

3d•$6,810 - $14,610

About The Position

Microsoft Frontier Co. is a customer outcome-driven organization that brings together industry expertise, strategic partnerships, and engineering. Its teams work alongside customers to co-design, deploy, and continuously improve AI systems that deliver measurable, customer-defined outcomes. As a Data Science PhD Forward Deployed Engineer Intern, you will work with real-world datasets to develop scalable, production-ready solutions and run experiments that inform business strategy and customer outcomes. You will collaborate with global organizations across industries, applying advances in artificial intelligence and data science to solve problems at scale. You will develop models, evaluate results, and translate evidence into decisions supporting measurable business outcomes, partnering with engineers, product managers, and domain experts throughout the lifecycle from data discovery through deployed solutions. Microsoft interns work on real-world projects with teams around the world and are empowered to build community, explore their passions, and pursue their goals. Participation in this internship does not guarantee future employment. Successful interns may be considered for full-time opportunities, but Microsoft states it is unable to sponsor work visas for full-time positions associated with this internship due to the nature of the role's job duties.

Requirements

Currently pursuing a doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field.
Have at least one academic quarter or semester remaining after completion of the internship.
Be enrolled in a full-time bachelor's, master's, MBA, or PhD program in an area relevant to the role during the academic term immediately before the internship.

Nice To Haves

2+ years of programming experience in data science, machine learning, statistical computing, or a related technical area.
1+ year of experience delivering data science or machine learning projects in collaborative, cross-functional teams.
2+ years of experience developing and applying statistical methods, machine learning algorithms, data structures, or optimization techniques.
Coursework, research, or applied experience in machine learning, statistical modeling, experimentation, causal inference, data mining, databases, data engineering, or distributed systems.
Experience with SQL and programming languages commonly used in data science, such as Python, R, Java, Scala, C#, or similar.
Familiarity with data pipelines, large-scale data processing frameworks, model evaluation, telemetry systems, visualization or reporting tools, or cloud-based data and machine learning platforms.
Interest in large-scale data science, machine learning systems, experimentation, model optimization, data quality, and translating analytical findings into business and customer impact.

Responsibilities

Prepare and assess data using querying, visualization, and reporting techniques to identify key attributes, quality considerations, and project impact.
Develop, train, optimize, and evaluate models using appropriate statistical and machine learning approaches to address business objectives.
Design and analyze controlled experiments, communicate findings to stakeholders, and connect technical metrics with business outcomes.
Partner with engineering teams to operationalize models, supporting performance, scalability, monitoring, maintenance, and integration into production systems.
Collaborate with cross-functional partners to define evaluation metrics and improve artificial intelligence system and product performance.

Benefits

Certain roles may be eligible for benefits and other compensation; additional benefits and pay information is available through the linked Microsoft internship pay page.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume