Xometry is looking to add a Sr. Data Scientist to their sourcing team to develop and optimize predictive models that forecast business outcomes, leveraging machine learning and statistical analysis.
Requirements
- 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
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
- Work in an environment that thrives on teamwork and continuous learning opportunities
- Must be a US Citizen or Green Card holder (ITAR)
- LI-Hybrid
- Xometry is an equal opportunity employer. All applicants will consider 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.
