Xometry is seeking to use machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes, in order to improve their digital marketplace and better connect buyers with manufacturers.
Requirements
- 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 with machine learning, statistical modeling, and optimization techniques
- 5+ years of experience with machine learning, statistical modeling, and optimization techniques
- Experience in the manufacturing industry is desired
- Experience with data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker)
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
- Solve challenging, uncharted problems
Other
- 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
- Must be a US Citizen or Green Card holder (ITAR)
- Work in an environment that thrives on teamwork and continuous learning opportunities
- Ability to work in a fast-paced environment where ambiguity is the norm
