Innovative Defense Technologies (IDT), provider of automated software testing, data analysis, and cybersecurity solutions for complex defense systems, is currently accepting applications for a Data Scientist role in support of its efforts implementing Artificial Intelligence and Data Analytics solutions for a variety of customers.
Overview:
The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities.
All applicants must be able to obtain/maintain an active U.S. Security Clearance.
Responsibilities Include:
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
Minimum Required Qualifications:
Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master's Degree in Data Science or other technical field highly preferred
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 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
Preferred Skills:
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
Competencies:
Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive
Attention to detail
Strong sense of intellectual curiosity and desire to learn
Initiative, creativity, reliability, teamwork
Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment
EEO Statement:
IDT is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other basis protected by federal, state, or local law.
