Xometry is adding a Senior Data Scientist to our cost prediction 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.
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
Requirements:
Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or PhD in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds 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 Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder (ITAR)