Data Scientist

Knowmadics, Inc • Wichita, KS

7d • Onsite

About The Position

Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithm data capabilities for cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work collecting data, developing solutions to real-world problems using machine learning. Developed solutions are actively being productionized to support ongoing cybersecurity initiatives and other crucial infrastructure and security needs.

Requirements

• Graduate-level education (Master’s or PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional candidates with a bachelor’s degree and substantial applied machine learning or data science experience may also be considered.
• 2+ years professional experience with an open-source data science stack (e.g., pandas, numpy, pytorch, keras, tensorflow, pymc3, etc.)
• 2+ years professional experience working with real-world, complex datasets
• Experience communicating technical results to semi-technical audience

Nice To Haves

• Exposure to product-driven machine learning organization with deployed customer facing capabilities
• Exposure to big data environment including tools for large-scale data storage and sensor-based data collection workflows
• Experience with RF/Telecommunications physics, cybersecurity, or space operations
• Experience with UAS operations, with Part 107 Remote Pilot Certification preferred

Responsibilities

• Collaboratively develop data collection processes designing experiments to ensure quality and usefulness of data
• Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data
• Work with human factors specialists, and data/full stack engineers to define system requirements, review developed code, and support translating statistical concepts to coworkers
• Support documentation of analysis results for semi-technical stakeholders
• Occasionally support technical interactions like collaboration, including defining technical requirements for external data collections, and reviewing technical work

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level