Data Scientist / AI Engineer

Description

• 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

• 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

• 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

• 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