Senior Data Scientist, Costing

🕒 July 5, 2025

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Xometry

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💰 $75M Series E on 2020-09

Manufacturing • Technology • Engineering

Xometry is a leading digital manufacturing marketplace, offering a comprehensive range of on-demand manufacturing and production solutions. Specializing in 3D printing, CNC machining, injection molding, and sheet metal fabrication, Xometry serves industries such as aerospace, automotive, medical, and electronics. The company provides instant quoting, DFM feedback, and quality assurance through its massive global supplier network, enabling clients to efficiently manage prototyping, high-volume production, and custom part manufacturing. Xometry emphasizes environmental sustainability with initiatives like carbon emission offsetting, and offers features such as the Xometry Instant Quoting Engine and Teamspace for streamlined project collaboration.

📋 Description

• Use data science and machine learning principles to develop effective predictive models • Write software to prepare, clean, and sample data for use in developing predictive models • Use cloud resources (e.g., Amazon Web Services) to prepare and process data • Query and extract data from databases (Snowflake) • Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy • Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm • Solve challenging, uncharted problems • Work in an environment that thrives on teamwork and continuous learning opportunities

🎯 Requirements

• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred • M.S. or Ph.D. in a related field highly desired • 5+ years of experience with machine learning, statistical modeling, and optimization techniques • Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) • Proficient in linear algebra and statistics • Familiar with scientific software principals, e.g. versioning systems, reproducibility • Experience in the manufacturing industry is desired • Must be a US Citizen or Green Card holder (ITAR)