Junior Data Scientist

The Bison Group LLC•Springfield, VA

2h•$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 collaborate with developers and colleagues and gain exposure to industry practices such as AWS cloud solutions. You will work on a team of data engineers, database developers, and visualization specialists, analyzing data and helping develop and deploy models in support of the Chief Data Office.

Requirements

Experience as a data scientist using imagery data.
Experience writing documented, reproducible code in Python, R, Scala, JavaScript, or C++.
Strong knowledge 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 use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products.
Ability to identify and 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 Poly.
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 to identify anomalies and undiscovered correlations.
Conduct in-depth analysis of data sets and reports to identify problems or suspected data issues.
Develop and use complex concepts and processes spanning multiple organizations and disciplines.
Participate in continuous improvement efforts to increase data quality and delivery speed.
Contribute as a development team member on an Agile 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.