DATA PROFESSIONAL JOBS / VA. (Analyst & Scientist) TS/SCI/FS Poly

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

* These positions have not yet been funded.

DATA PROFESSIONAL JOBS / VA. (Analyst & Scientist) TS/SCI/FS Poly

• Data Analyst
• Data Scientist

  DATA ANALYST / VA. TS/SCI/FS Poly

  Bachelor's degree IT field or 5 years' experience in data management or ingestion functions. Minimum 3 years' experience.

• Acquire data from primary or secondary data sources and maintain databases/data systems
• Manage master data, including creation, updates, and deletion
• Structure large data sets to find usable information using Information Technology
• Process confidential data and information according to guidelines
• Design, develop, implement and databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Troubleshoot data
• Identify, analyze, and interpret trends or patterns in complex data sets
• Make predictions based on data trends

  DATA SCIENTIST / VA. TS/SCI/FS Poly

  Bachelor's degree IT field or 5 years' experience in data management or ingestion functions. Minimum 3 years' experience.

• Engage with customers to determine the nature of requirement/analytic problem, evaluate options, and offer Information Technology (IT)-based recommendations/options
• Advise customers on IT methods and data needed and/or available to satisfy the requirement
• Develop IT solutions to enable the exploitation of databases and files; devise creative data collection and strategies
• Develop comprehensive software applications
• Identify potential additional data sources and automate collection processes
• Integrate, analyze, evaluate, and assess quantitative data (using statistical software, computer models, geospatial models, software languages, mathematical models, machine learning) to contribute to or develop IT solutions to requirements (software tools, analytic models, or reports.)
• Conduct statistical, mathematical, geospatial modeling or data-mining analysis in partnership with other colleagues