Xometry Inc
Senior Data Scientist, Cost Prediction
Xometry Inc, Lexington, Kentucky, us, 40598
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
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)
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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)
#J-18808-Ljbffr