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Dynetics, a wholly owned subsidiary of Leidos, is seeking a talented 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 4 to 7 years of experience using analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. Should have a wide range of technical competencies including: statistics, machine learning, coding languages, databases, and reporting technologies.
Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products. Support ongoing and future programs to advance the state of the art in research and advanced machine learning and data fusion applications in the areas of mission-focused big data analytics and predictive analytics. Support multiple simultaneous projects and take open-ended or high-level guidance. Independently and collaboratively make discoveries that are mission-relevant. Develop machine learning algorithms. Develop visualization strategies and capabilities to support mission and business objectives.
Interact with customers to ensure requirements are met and to develop new features. Should be able to find patterns in unstructured and semi-structured data. Work closely with software developers and program managers to meet timelines and goals. Must be able to deliver findings to a non-technical audience.
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. Demonstrable proficiency with multiple languages for ML and advance ML techniques 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.