Data Science PhD Forward Deployed Engineer Intern

Quick Facts

• Role: Data Science PhD Forward Deployed Engineer Intern

• Focus: Build and evaluate ML/statistical models; design experiments; operationalize solutions for measurable business outcomes

Description

As a Data Science PhD Forward Deployed Engineer Intern, you will develop models, evaluate results, and translate evidence into decisions that support measurable business outcomes. You will prepare and assess data, design and analyze controlled experiments, and partner with engineering teams to operationalize models for performance, scalability, monitoring, maintenance, and production integration.

Responsibilities

• Prepare and assess data using querying, visualization, and reporting to identify key attributes, data quality considerations, and project impact

• Develop, train, optimize, and evaluate models using statistical and machine learning methods aligned to business objectives

• Design and analyze controlled experiments; communicate findings; connect technical metrics with business outcomes

• Partner with engineering teams to operationalize models (performance, scalability, monitoring, maintenance, and production integration)

• Collaborate on evaluation metrics and improve AI system and product performance across teams

Requirements

• Currently pursuing a Doctorate in a relevant field (Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related)

• Must have at least one academic quarter/semester remaining after completing the internship

• Must have at least one additional quarter/semester of school remaining after the internship ends

• Enrolled in a full-time bachelor's, master's, MBA, or PhD program in a relevant area during the academic term immediately before the internship

Preferred Qualifications

• 2+ years programming experience in data science, machine learning, statistical computing, or related

• 1+ year delivering data science/ML projects in collaborative cross-functional teams

• 2+ years experience with statistical methods, ML algorithms, data structures, or optimization techniques

• Coursework/research/applied experience in machine learning, statistical modeling, experimentation, causal inference, data mining, databases, data engineering, or distributed systems

• Experience with SQL and languages such as Python, R, Java, Scala, C#, or similar

• Familiarity with data pipelines, large-scale processing frameworks, model evaluation, telemetry systems, visualization/reporting tools, and/or cloud-based data/ML platforms

Benefits

• Base pay range: USD $6,810.00 - $13,480.00 per month (location-specific range may apply)

• SF Bay Area/NYC metro base pay range: USD $8,920.00 - $14,610.00 per month

• Certain roles may be eligible for additional benefits and compensation