AI/ML Data Scientist

Background Information:

Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking an AI/ML Data Scientist to be based in our Arlington, VA office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results.

Overview:

The Data Scientist position offers an engineer the opportunity to utilize their knowledge and talents as part of a collaborative team developing AI solutions for a growing company. A few of the responsibilities include supporting feasibility studies, applying modern data storage techniques, discovering explanatory features in high-dimensionality collections of data, and exploring data using scientifically valid techniques to exploiting patterns found in the data with state-of-the-art AI/ML/DL solutions.

All applicants must be able to obtain/maintain an active U.S. Security Clearance.

Responsibilities Include:

Develop solutions to deliver AI/ML/DL models from problem formulation to a productized, deployable, maintainable capability

Use Deep Learning frameworks such as Tensorflow and Keras to build and validate ML/DL models

Establish and leverage Big Data frameworks to store, extract and analyze relevant data

Develop software solutions by understanding customer requirements and program intent

Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions

Be responsible for solutions that meet software design, quality, and performance requirements

Work with minimal supervision in a collaborative work environment to implement best-in-class solutions

Minimum Required Qualifications:

Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, or Math

Minimum of 3 years of experience in predictive modeling, data science and analysis

Required Skills:

Previous experience in a ML or data scientist role and a track record of building ML or DL models

Experience working with data mining algorithms including decision trees, probability networks, association rules, clustering, and neural networks

Experience using Python (or equivalent)

Experience using ML libraries, such as scikit-learn,

Experience using data visualization tools

Preferred Skills:

Experience working with GPUs to develop model

Experience with MapReduce programming (Hadoop)

Skills with programming languages, such as Java or C/C++

Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

Experience with application container platforms

Familiarity with continuous integration/delivery tools (e.g. Jenkins)

Familiarity with version control tools (e.g. Subversion, Git, etc.)

Familiarity with VMware or other virtualization software

Experience developing applications for DOD command and control systems

Competencies:

Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive

Attention to detail

Initiative, creativity, reliability, teamwork

Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment

Pay Range*: $90,000 - $150,000 or $114,000 - $184,000

This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.

EEO Statement:

IDT is an Equal Opportunity employer.