Data Scientist — ML for Cyber, Space & Telecom

Evolving Solution Services; Round Rock (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Knowmadics is seeking a Data Scientist to join a team of engineers, scientists and human factors professionals. You will develop machine learning and data capabilities for cybersecurity, space, and telecommunications, and hands-on data collection to build production-ready solutions.

The role emphasizes statistical modeling, collaboration with cross-disciplinary teams, and documentation of results for semi-technical stakeholders.

Qualifications

• Graduate-level or higher in a quantitative field is preferred; exceptional bachelor’s candidates with strong ML/data science experience may be considered.
• 3+ years of professional experience using Python-based scientific computing and ML tools.
• 3+ years of experience analyzing complex real-world datasets using statistical inference or ML techniques.
• Eligible to obtain a U.S. Security Clearance – U.S. Citizenship required

Responsibilities

• Design and develop data collection and experimental protocols for high-quality datasets.
• Develop, evaluate, and validate statistical and ML models for cybersecurity, telecommunications, and sensor data.
• Collaborate with human factors specialists and data/full stack engineers to define system requirements and translate statistical concepts.
• Document analysis results for semi-technical stakeholders.
• Support external collaborations by defining technical data collection requirements and reviewing work

Skills

Python

Numpy

Pandas

SciPy

Scikit-learn

PyTorch

TensorFlow

PyMC

GeoPandas

Education

Master’s or PhD in a quantitative field

Bachelor’s degree in a quantitative field

Tools

Python

Job description

Knowmadics is seeking a Data Scientist to join a team of engineers, scientists and human factors professionals. You will develop machine learning and data capabilities for cybersecurity, space, and telecommunications, and hands-on data collection to build production-ready solutions.

The role emphasizes statistical modeling, collaboration with cross-disciplinary teams, and documentation of results for semi-technical stakeholders.