Data Science Intern — Innovate with ML in Manufacturing

Feedinkoo; United States; Remote; USD 28,000 - 41,000; Full time

Job summary

Xometry is seeking a Data Science Intern (Master’s/PhD) to join our Lexington, KY or North Bethesda, MD offices for a summer program. You will develop models, analyze large datasets, and work with cross-functional teams to drive data-driven decisions.

Ideal candidates are pursuing advanced degrees in Data Science, Statistics, or ML, with strong Python/R skills and experience in ML, data mining, and visualization. Fully on-site, 40 hours/week, June 9–August 15, 2025.

Qualifications

• Currently enrolled in a Master’s or PhD program in a quantitative field.
• Strong foundation in statistical modeling and machine learning.
• Proficiency in Python or R and data visualization.
• Experience with cloud platforms and big data tools is a plus.
• Willingness to work full-time during the 2025 summer internship.

Responsibilities

• Develop and implement advanced statistical models and ML algorithms.
• Conduct in-depth data analysis on manufacturing, customers, and markets.
• Design and run experiments to evaluate data-driven strategies.
• Collaborate with engineers, PMs, and stakeholders to translate needs into solutions.
• Contribute to data pipelines and data science infrastructure.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Statistical modeling

Machine learning

Data mining

Python

R

Data visualization

Cloud platforms (AWS/Azure/GCP)

Education

Master's or PhD in Data Science, Statistics, Machine Learning, or related field

Tools

Spark

Hadoop

AWS

Azure

GCP

Pandas

Scikit-learn

Job description

Xometry is seeking a Data Science Intern (Master’s/PhD) to join our Lexington, KY or North Bethesda, MD offices for a summer program. You will develop models, analyze large datasets, and work with cross-functional teams to drive data-driven decisions.

Ideal candidates are pursuing advanced degrees in Data Science, Statistics, or ML, with strong Python/R skills and experience in ML, data mining, and visualization. Fully on-site, 40 hours/week, June 9–August 15, 2025.