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
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
- Experience with cloud resources (e.g., Amazon Web Services)
- Experience with data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker)
- Experience with databases (Snowflake)
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
- 5+ years of experience
- Must be a US Citizen or Green Card holder (ITAR)
- Work in an environment that thrives on teamwork and continuous learning opportunities
