Data Scientist
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Job Description
Data Scientist developing machine learning solutions with engineers and scientists for cybersecurity and telecommunications. Involves hands-on data collection and collaboration on defined system requirements.
Responsibilities:
- 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%
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