Senior Data Scientist, Costing

Xometry; Lexington (KY); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Lexington, Kentucky is seeking a Senior Data Scientist to enhance predictive modeling capabilities using machine learning. The ideal candidate will have significant experience in Python and statistical modeling. This role emphasizes teamwork in a fast-paced, collaborative setting that fosters continuous learning. Candidates must be US Citizens or Green Card holders.

Qualifications

• 5+ years of experience with machine learning and statistical modeling.
• Fluent in Python and familiar with scientific software principles.
• Experience in manufacturing is preferred.

Responsibilities

• Develop effective predictive models using data science principles.
• Prepare and clean data using software tools.
• Query and extract data from databases.

Skills

Machine learning

Statistical modeling

Data analysis

Python

Cloud resources

Data visualization

Education

Bachelor’s degree in related fields

M.S. or Ph.D. in a related field

Tools

SQL

Python libraries (pandas, numpy, SciPy, scikit-learn)

Looker

Job description

Overview

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

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.

Responsibilities

• 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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Qualifications

• 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 principles, e.g. versioning systems, reproducibility
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR)

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Equal Opportunity

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.

Application and Further Information

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