• 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

• 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
• 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)