Mid Level Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Mid-level Data Scientist to employ a multi-discipline approach to provide data science support for OSO. Enable OSO to lead planning, programming and operational activities required to support the data-driven performance analysis of NGA’s enterprise data assets. Assist the enterprise to ensure data is useful, accurate, accessible, and coordinated amongst other data sources.

Duties include:

• Assists expert engineers and the Government in OSO data requirements or analysis efforts, projects, and other activities.
• Support OSO by providing the capability to capture enterprise data assets from multiple systems and build robust solutions backed by data analytics, dynamic visualizations, and cross-directorate expertise and data.
• Enable the forecasting of behavior, performance, and analyze trends.
• Manage data analysis project lifecycle, from the brainstorming phase to final production and product delivery.
• Develop and apply quantitative and qualitative analytic methods to identify, collect, and analyze large datasets for specified purposes.

Qualifications

BS 8-10, MS 6-8, PhD 3-5

Required:

•  Bachelor’s degree or higher in systems engineering or in related technical or scientific fields such as data engineering, mathematics, statistics, probability operations research, engineering management, computer science, information science, or related STEM degree program; or Midlevel work experience as a Data Scientist
• Demonstrated experience in at least three of the following: Enterprise Information Architecture, Data Science, Data analytics, Data modeling, Data Engineering creation and guidance, Data management, quality and governance best practices, Data warehousing and curation, SQL, Security and risk management, business analytics, or Cloud data services Proficiency in Python (e.g., Flask, DASH, Extract Transform / Transfer Load (ETL), Dynamic Visualization, Backend database connections, statistical analysis) 
• System engineering experience in government or industry 

Desired:

• Demonstrated experience with structured and unstructured data wrangling, information science 
• Demonstrated experience with information engineering, modeling and simulation, and/or business analytics
• Experience engineering solutions using structured and unstructured Big Data