Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Are you a driven graduate student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop advanced skills in the rapidly evolving world of digital manufacturing. We're looking for a passionate and talented Data Science Intern (Master's/PhD) to join our team!
What You'll Do: As a Data Science Intern at Xometry, you'll contribute to projects that leverage advanced analytical techniques to optimize our manufacturing processes, improve customer experience, and drive business decisions. You can expect to work in an environment that encourages innovation and provides hands-on experience in applying cutting-edge data science techniques to real-world challenges.You will:
- Develop and implement advanced statistical models and machine learning algorithms for tasks such as demand forecasting, predictive maintenance, or supply chain optimization.
- Conduct in-depth data analysis to identify trends, patterns, and insights from large datasets related to manufacturing operations, customer behavior, and market dynamics.
- Design and execute experiments to evaluate the effectiveness of different data-driven strategies.
- Collaborate with engineers, product managers, and business stakeholders to understand business needs and translate them into impactful data science solutions.
- Contribute to the development of data pipelines and infrastructure for data science applications.
- Communicate complex technical findings clearly and effectively to both technical and non-technical audiences.
- Potentially contribute to research and publications related to your work.
What We’re Looking For:
- Academic Excellence: Currently enrolled in a Master's or PhD program at an accredited college or university, graduating in December 2026 or May 2027, with a strong academic record.
- The ideal candidate will be pursuing a Master's or PhD degree in: Data Science, Statistics, Machine Learning, or a related quantitative field.
- Technical Skills: Strong foundation in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages (e.g., Python, R) and data visualization tools.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
- Research Experience (PhD candidates): Experience conducting independent research and contributing to publications is a plus.
- Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026).
- Excellent Communication Skills: Strong verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences.
- Problem-Solving Skills: A strong analytical mindset and a passion for problem-solving.
- Legal Authorization: Ability to provide proof of legal right to work in the United States. Location Requirement: Ability to commute to our Waltham, MA or North Bethesda, MD office to work onsite for at least 3 days a week.
- Provide Unofficial Transcript
The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position.
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Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
