Data Science Forward Deployed Engineer Intern

Microsoft

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Redmond, WA
Employment
Intern
Posted
7 days ago
Freshness
Confirmed live today
Closes
Apr 18, 2027

Market check

Salary context

How this pay compares to similar roles

Similar $186k
$132k $242k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,750–$229,443.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Data Science Forward Deployed Engineer Intern

JOB TITLE: Data Science - Forward Deployed Engineer: PhD Internship Opportunities As a Data Science - Forward Deployed Engineer: PhD Internship Opportunities, you will join a team to prepare and assess data using querying, visualization, and reporting techniques to identify key attributes and project impact. You will develop, train, optimize, and evaluate models using statistical and machine learning approaches to address specific business objectives. Your daily work involves designing and analyzing controlled experiments, communicating findings to stakeholders, and partnering with engineering teams to operationalize models for production systems. You must utilize SQL and languages like Python, R, Java, Scala, or C# while applying knowledge of data structures, optimization techniques, and causal inference. You will work on large-scale data science problems, focusing on model optimization, data quality, and translating analytical findings into measurable business and customer impact.

What you'll do

  • Prepare and assess data using querying, visualization, and reporting techniques to identify key attributes and project impacts.
  • Develop, train, optimize, and evaluate machine learning models to address specific business objectives.
  • Design and analyze controlled experiments to connect technical metrics with business outcomes.
  • Partner with engineering teams to operationalize models for production systems, ensuring scalability and performance.
  • Define evaluation metrics with cross-functional partners to improve artificial intelligence system performance.
  • Translate analytical findings into actionable business and customer impacts.
  • Maintain and monitor models within production environments to ensure ongoing reliability.

What we're looking for

  • Must be currently enrolled in a full-time bachelor's, master's, MBA, or PhD program in a relevant field.
  • Must have at least one academic quarter or semester remaining after the completion of the internship.
  • 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.

More like this

Similar roles

Data Science PhD Intern

Microsoft

Redmond, WA 18 days ago
Python SQL Hadoop R MATLAB SAS Excel C# Perl AMPL A/B Testing Statistics Data Analysis Data Science Operations Research Telemetry Systems

Applied Science PhD Intern

Microsoft

Redmond, WA +1 19 days ago
Machine Learning Large-scale Distributed Systems Data Preparation Statistics Econometrics Computer Science Search Language Models Recommender Systems Content and Commerce Systems Online Evaluation Data Quality Scalable Systems Productionizing Applied Science

PhD Machine Learning Software Engineer Intern

Lyft

San Francisco, CA 20 days ago
Machine Learning Reinforcement Learning Python PyTorch TensorFlow JAX SQL Spark Causal Inference A/B Testing Sequential Decision-Making Personalization Recommender Systems Off-policy Evaluation
Hybrid

PhD Data Scientist Intern

Stripe

New York, NY +2 25 days ago
Python R SQL Spark Machine Learning Statistical Modeling Causal Inference Data Pipelines Predictive Analytics Hypothesis Testing Regression Classification Anomaly Detection

Senior Scientist, Marketplace

Uber

New York, NY 34 days ago
Python R SQL Machine Learning Optimization Causal Inference Scala Spark Java Go Ruby Perl Statistical Analysis Data Visualization Experimentation Exploratory Data Analysis
4+ yrs exp Hybrid

Data Science Intern

Capital One Financial

McLean, VA +7 99 days ago
Python R SQL Machine Learning Deep Learning Relational Databases APIs Inferential Statistics Data Analysis Feature Engineering Statistics Mathematics Computer Science
Hybrid