Senior Data Scientist, Costing

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

Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred

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)

We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

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.