Data Scientist - Cost Prediction

November 16

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Logo of Xometry

Xometry

Direct Metal Laser Sintering (DMLS) • CNC Machining • Production Manufacturing • Rapid Prototyping • 3D Printing

1001 - 5000 employees

Founded 2013

💰 $75M Series E on 2020-09

Description

• Xometry is adding a Data Scientist II 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. • 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 • 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 • Plus if you have 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)

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