Data Scientist 3 - 27918
$103,467–$125,000 year
Remote · New York City, New York, United States or US
Job Summary
HII is seeking a Data Scientist to support the Joint Training Synthetic Environment (JTSE) and JLVC Modernization effort. This role involves leading data science workflows, data acquisition, feature engineering, model development, and deploying AI/ML models to enhance training and decision support capabilities. Responsibilities include designing scalable data pipelines, ensuring data consistency, and integrating models into simulation environments. Candidates should have significant experience in machine learning, data processing, and proficiency in programming languages like Python or R. A Bachelor's or equivalent experience is required, along with the ability to obtain a Secret Clearance.
Required Qualifications
- 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience
- Ability to obtain and maintain a Secret Clearance within 45 days of hire
- Experience building and deploying machine learning or statistical models in production or operational environments
- Strong knowledge of data processing, distributed data systems, and data architecture principles
- Proficiency in Python or R and experience with common data science libraries and toolkits
- Experience with data wrangling, feature engineering, and exploratory data analysis
- Understanding of AI/ML concepts including supervised/unsupervised learning, model evaluation, and performance metrics
- Experience preparing and maintaining technical documentation for datasets, models, and analytical workflows
- Ability to work within cross functional teams and manage multiple priorities
- Strong analytical reasoning and problem solving skills
- Experience working in Linux based environments
Desired Qualifications
- Experience developing or fine tuning large scale or foundation models (LLMs, multimodal models)
- Familiarity with modern AI/ML frameworks
- Experience deploying machine learning models into production or enterprise systems
- Knowledge of real time data processing and streaming technologies such as Kafka
- Familiarity with Joint Training and Simulation environments such as JTSE, JLVC, LVC, or similar DoD systems
- Understanding of data governance, data standards, and enterprise data strategy frameworks
- Experience working with synthetic data or simulation generated datasets
- Familiarity with MLOps/DevSecOps pipelines and secure model deployment practices
- Experience supporting joint, multi domain, or coalition operations
- Relevant certifications (AWS, Kubernetes, Security+, CISSP, or similar)
Additional Requirements
- Must be able to obtain and maintain a Secret Clearance
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