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Innovative Defense Technologies (IDT) · 7 hours ago

Data Scientist / AI Engineer

Arlington, VA

Full-time

Onsite

Mid Level

$90K/yr - $150K/yr

3+ years exp

Innovative Defense Technologies (IDT) is seeking a Data Scientist/AI Engineer to develop innovative AI and Data Analysis solutions. The role involves leading feasibility studies, building capabilities for high-dimensional datasets, and integrating AI/ML solutions for mission-critical software capabilities.

Information TechnologySoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability

Leverage state-of-the-art theory and technologies to solve complex problems

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

Qualification

Machine LearningData ScienceStatistical AnalysisPythonData MiningMathematical OptimizationData VisualizationSoftware EngineeringProgramming LanguagesAnalytical AbilitiesTeamworkAttention to Detail

Required

Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field or equivalent full-time professional experience required; Master's Degree in Data Science or other technical field highly preferred

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

Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities

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

Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms

In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE)

Strong proficiency in Python

Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc

Knowledge of data and information visualization principles and experience using related tools

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

Preferred

Strong software engineering background

Skills with other programming languages, such as Julia, 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

Familiarity with Large Language Models (LLM) and LLM parameter tuning

Familiarity with network science and graph theory