Data Scientist

🕒 May 15

🌪️ Kansas, Oklahoma, +1 more states – Remote

🌪️ Kansas – Remote 🌪️ Oklahoma – Remote 🤠 Texas – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Knowmadics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🔒 Cybersecurity

🏛️ Government

☁️ SaaS

Cybersecurity • Government • SaaS

Knowmadics is a defense- and national-security-focused technology company that delivers a 360° Aware software platform, electronic warfare (EW) and cyber training, and rapid innovation services. It combines EW, technical surveillance, cyber expertise, and AI-driven analytics to provide real-time situational awareness, a common operational picture, and scenario-based readiness for defense, intelligence, law enforcement, and enterprise duty-of-care customers. Knowmadics provides software (platform/SaaS), training, and mission-focused services to help operators anticipate threats, attain spectrum superiority, and make faster, more informed decisions across land, air, sea, cyber, and space domains.

📋 Description

• 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. • 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.

🎯 Requirements

• Minimum 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. • Preferred 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.

🏖️ Benefits

• Employees may be called upon to participate in in-person meetings, trainings, or company functions at Knowmadics offices or other designated locations. • Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position. • Some weekend work may be required based on project deadlines or operational needs. • Estimated Travel: 30-40%