Data Scientist for cArmy systems and initiatives

Basic Qualifications

Requires a Bachelor's degree in Engineering, or a related Science or Mathematics field. Also requires 2+ years of job-related experience or a Master's degree.

CLEARANCE REQUIREMENTS: Ability to obtain a Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position

General Dynamics Mission Systems has an opening for a Data Scientis for cArmy systems and initiatives.

Expected Duties:

• Design, develop, integrate, and test within U.S. Army machine learning initiatives and programs (e.g., cArmy, Project Maven, Vantage
• Data Analytics Program) and cloud computing platforms (e.g., Amazon Web Services, Microsoft Azure).
• Implement processes, experiments, and prototyping solutions for various data sets in AI and ML, including data mining, analysis, modeling, predicting, and presenting.
• Create machine learning and AI tools to discover and leverage information in large data sets, delivering insights through algorithms, dashboards, and queries.
• Use advanced statistical methods, predictive modeling, and scripting to develop solutions for large data sets and extract meaningful insights.
• Apply engineering principles and techniques of computer science and statistics to develop data-driven, evidence-based solutions and interpret findings.
• Collaborate across departments and with project leaders to define data requirements and identify questions/issues for data analysis and experiments.
• Independently determine approaches to solutions and contribute to the completion of projects or small programs; may provide work direction to other employees as technical lead
• Travel may be required; security clearance required.

Expected Skills:

• Demonstrate skillful judgment in selecting methods and techniques for analytical solutions and work on diverse scope problems requiring extensive data analysis.
• Champion new ideas and products, with experience in advanced machine learning algorithms and skills (e.g., statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks).
• Familiarity with data architectures for distributed data and strong programming, scripting, and querying skills.
• Familiarity with statistical computer languages to manipulate data and draw insights, and implement new statistical or mathematical methodologies as needed.
• Familiarity with data mining, statistical analysis, pattern recognition, or predictive modeling.
• Understand various data structures and common methods in data transformation.
• Clearly present new concepts through oral, visual, and written communications.

Salary Note

This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range

USD $106,382.00 - USD $118,018.00 /Yr.

Company Overview

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans