Junior Data Scientist

The Bison Group•Springfield, VA

1d•$140,000 - $160,000

About The Position

As a Junior Data Scientist, you will support a National Security mission to position NGA as the enterprise and community GEOINT data provider. The work aims to improve how analysts, customers, and end users access, discover, stage, link, produce, reintegrate, and deliver intelligence. You will work with data engineers, database developers, visualization specialists, software engineers, and other colleagues, gaining exposure to industry best practices such as AWS cloud solutions. The position contributes to the Chief Data Office by developing and deploying models that provide ongoing forecasts, optimizations, recommendations, and insights. The role requires experience using imagery data and the ability to analyze complex structured and unstructured data, evaluate analytical methods, and communicate findings through graphical, written, visual, and verbal products. Applicants must hold a TS/SCI clearance and be able to obtain a Polygraph. Minimum education and experience is a bachelor's degree plus 1–3 years of experience, or a master's degree plus 1–3 years of experience. The stated salary range is $140,000–$160,000 per year. The Bison Group offers benefit options including medical, dental, vision, life, and disability insurance, as well as accrued PTO including vacation, sick leave, and holidays.

Requirements

Experience as a data scientist using imagery data.
Experience writing documented, reproducible code in Python, R, Scala, JavaScript, or C++.
Strong knowledge of and experience with visual programming or object-oriented modeling workflows to automate data acquisition.
Ability to manipulate data from multiple structured and unstructured data sources.
Ability to apply analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance.
Ability to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and to use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products.
Ability to identify and appropriately evaluate existing methods, models, and algorithms for mission-driven problems while recognizing their capabilities and limitations.
Ability to categorize data and metadata to build a metadata application profile.
Experience with Apache Hadoop, HUE, Hive, Pig, Spark, Elasticsearch, Kibana, or Tableau.
TS/SCI clearance with ability to obtain a Polygraph.
Bachelor's degree plus 1–3 years of experience, or a master's degree plus 1–3 years of experience.

Responsibilities

Analyze large sets of structured data with a team of data engineers, database developers, and visualization specialists to identify anomalies and undiscovered correlations.
Conduct deep-dive analysis of datasets and reports to identify problems or suspected data issues.
Develop and use exceptionally complex concepts and processes spanning multiple organizations and disciplines.
Participate in continuous improvement efforts to increase data quality and speed of delivery.
Contribute as a member of an Agile development team using Scrum techniques.
Work with the software engineering team to deploy models that provide ongoing forecasts, optimizations, recommendations, and insights in support of the Chief Data Office.