$170K - 180K a year
Develop analytics to show metrics on sensor performance by compiling data sources using scripting, statistical analysis, and data modeling.
10+ years experience in machine learning, data science, programming (Python and C), advanced statistics, AI, data management, and an active TS/SCI clearance with polygraph.
• *Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. ---------- Telework: None Basic Requirements: 10 years of relevant experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering Experience in more than three areas is strongly preferred. Bachelor's degree in a technical field Job Description: Compiling various data sources via computer scripting, statistical analysis, data modeling, etc. This position requires being able to develop analytics to show metrics on sensor performance. A SIGINT background is a strong foundation for this team. PROFORMA/OVH or other RF experience and/or 451/452 is a nice to have. Required Experience: Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical) Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations. Salary: $170,000 - $180,000 annually ---------- Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. This is a full time position.
This job posting was last updated on 10/23/2025