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# Data Scientist, Costing

- **Company:** DIGI DIGI, LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Databases, Python (Programming Language), Machine Learning, NumPy, SciPy, SQL Databases, Jupyter Notebook, Data Processing, Snowflake, Pandas, Scikit Learn, Information Technology, Optimization Algorithms, Looker Analytics, Software Version Control
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-data-scientist-costing-xometry-2-6925787

## About the Role

* 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), 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.

## Description

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data.

How You'll Contribute:

 * 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


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