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Dynetics, a Leidos Company, is seeking a talented Junior Data Scientist to join a diverse, highly-skilled team to create unique solutions for complex problems in security engineering and cyber domains. With offices across the United States engaging in the defense, space, cyber and commercial fields, Dynetics provides responsive, cost-effective intelligence, engineering, scientific and IT solutions.
Candidate should have 0 – 3 years of experience using analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. Developing a wide range of technical competencies and should be familiar with several languages and reporting technologies, proficient in at least one of each. This could be an ideal opportunity for a strong junior developer to move into AI/ML.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Experience visualizing/preparing data for stakeholders. Experience querying and analyzing machine logs. Excellent written and verbal communication skills for coordinating across team. Candidate must have a BS and 1-3 years or prior relevant experience. Additional years of experience can be accepted in lieu of education.
Experience with any of the following is a plus - Python for AI, TensorFlow, Scikit Learn or Pytorch. Knowledge of Splunk, Nifi and Kafka or other big data pipeline architectures. Familiarity with the Elastic Search and Kibana for big data analysis and visualization. Additional skills in Data Analytics, SQL or specific military system domain knowledge a plus.
Candidate must be a US Citizen and possess (and be able to maintain) a Final Top Secret/SSBI Clearance or meet the eligibility to obtain (and maintain) a Final Top Secret Clearance.