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Sr. Data Scientist / AI Engineer
Innovative Defense Technologies (IDT)Mount Laurel, United Statesfull_timeVerifiedPosted 13 Feb 2025
💰 $231,000/yr($102,600/yr – $231,000/yr)
About the role
Background Information:Innovative Defense Technologies (IDT), provider of automated software testing, data analysis, and cybersecurity solutions for complex defense systems, is currently accepting applications for a Sr. Data Scientist role in support of its efforts implementing Artificial Intelligence and Data Analytics solutions for a variety of customers.Overview:The Sr. Data Scientist/AI Engineer 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 a growing company. 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
- Master’s Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master’s Degree in Data Science or AI highly preferred
- Minimum of 5 years of experience in predictive modeling, data science, AI, and analysis
- Previous experience in a ML or data scientist role or PhD program, and a track record of building ML and Data Science capabilities
- Experience integrating tailored solutions leveraging LLMs into productionized environments
- 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
- Strong theoretical understanding of AI and ML algorithms, as well as statistical learning theory
- Independent research and experimentation in AI/ML
- Skills with other programming languages, such as Julia, Java or C/C++
- Experience with application container platforms
- Familiarity with version control tools (e.g. Subversion, Git, etc.)
- Familiarity with VMware or other virtualization software
- Familiarity with Large Language Models (LLM) and LLM parameter tuning
- Expert-level knowledge of AI/ML
- 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
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