Data Scientist II

Summary

Join Xometry's cost prediction team as a Data Scientist II and leverage machine learning to build and optimize predictive models. You will use your expertise in probability and statistics to derive actionable insights from data. This role requires proficiency in Python, data analysis tools, and database querying. Experience with 3D data and cloud resources is highly valued. The position demands a relentless approach to problem-solving and collaboration within a fast-paced environment. A Bachelor's degree is required, with a preference for degrees in quantitative fields. US citizenship or green card is mandatory.

Requirements

• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
• Degree in Mathematics, Statistics, or related field (M.S. or PhD highly desired)
• 3+ 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, code deployment
• Must be a US Citizen or Green Card holder (ITAR)

Responsibilities

• Use data science and machine learning principles to develop effective predictive models using 3D data
• 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 and MongoDB)
• 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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Preferred Qualifications

• Plus if you have experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds
• Experience in the manufacturing industry is desired

Benefits

• #LI-Remote
• Work in an environment that thrives on teamwork and continuous learning opportunities