Data Scientist
Odenton, MD On-site
$107,900–$195,050 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
has new and exciting opportunities for experienced a Data Scientists in our Intelligence Sector, Cyber & Analytics Business Area (CABA) . The work focuses on applying your AI/ML experience to assess large datasets to support development and improvement of CNO Community capabilities with analytics and tools for CNE, Malware Analysis, and sensor improvement. You will have the opportunity to apply your knowledge of data modeling, large language models (LLM), and qualitative and quantitative techniques to normalize, analyze, and visualize RF, PERFORMA, and other SIGINT data in a large-scale data processing environment using technologies such as Spark, cloud data platforms, Python, and SQL. What will you do in this role?
What you'll bring
- To qualify for work in this environment, you must currently hold a Top Secret/SCI clearance.
- Bachelor's Degree in areas such as Computer Science, Mathematics, Statistics, Artificial Intelligence/Machine Learning, Data Science, and Operations Research and 10 years of relevant experience. • An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- A degree in other technical fields if you have a coursework concentrating in advanced mathematics, probability and statistics, artificial intelligence/machine learning, computer science, and/or data mining.
- A broader range of degrees will be considered if accompanied by certificate in areas such as Data Science and AI/ML.
- Skill in at least one high-level language such as Python and at least one language such as C/C++ and experience developing data visualization using Tableau, Power BI, or Python libraries.
- Ability to translate complex data into strategic insights and automated analytics workflow development and effectively communicate complex technical information to non-technical audiences and collaborate effectively.
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