Data Scientist

UIC Alaska•Fort Belvoir, VA

3d•Onsite

About The Position

DATA SCIENTIST (ARDAP): Bowhead is seeking a Data Scientist for the upcomming Army Data and Analytics Platform (ARDAP) effort located at Fort Belvoir, VA. This is a fast paced job managing subject matter experts and IT professionals advising executive level personnel on financial, technical, and other high-level policy areas.

Requirements

MA/MS in Computer Science, Engineering, Mathematics, or related discipline or Equivalent
Ten (10+) years of experience with programming languages such as Python and R; and querying languages such as SQL required
Intermediate to advanced level skills in Microsoft Office software suite - Word, Excel, Outlook, PowerPoint
Ability to communicate effectively with all levels of employees and outside contacts
Strong interpersonal skills and good judgment with the ability to work alone or as part of a team
Must be able to lift up to 25 pounds
Must be able to stand and walk for prolonged amounts of time
Must be able to twist, bend and squat periodically
Must currently hold a security clearance at the Secret level.
US Citizenship is a requirement for Secret clearance at this location.

Responsibilities

Lead development and implementation of analytics solutions to solve business problems and optimize mission execution.
Define and develop techniques to integrate, consolidate, and structure data for analytical use.
Research, analyze, and document technical approaches for desired outcomes.
Provide guidance in applying appropriate algorithms, solutions, and data science techniques.
Develop and implement a set of techniques or analytics applications to transform massive-scale data into actionable and meaningful information.
Lead development, testing, and demonstration of analytics products.
Design scalable algorithms utilizing large amounts of data and apply data mining, cluster analysis, statistical models, visualization, and machine learning to power data driven products and tools and provide useful insights.
Enable automation of queries and build tools.
Design and develop piping and processing of massive data streams to facilitate analysis.
Develop graphical analysis to analyze and interpret data, update existing programs to reflect new business rules or policy changes, and develop customizable reports.
Write scripts to integrate data, conduct exploratory data analysis to discover patterns, and apply machine learning to train predictive models.
Have experience formulating recommendations and briefings and easily communicate complex ideas to high-level commanders/executives.
Have experience serving as a data scientist on complex technology implementations, and experience in large data environments with an understanding of scaling algorithms between differing environments.