Junior Data Scientist

ASRC Federal • Greenbelt, MD

1d • Onsite

About The Position

ASRC Federal AFSS is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD.

Requirements

• Bachelor’s degree in Data Science, Statistics, or related discipline.
• Strong programming skills: Python, R, SQL, MATLAB, SAS, HTML/CSS; experience with PyTorch, TensorFlow, Linux, Git.
• Expertise in machine learning, deep learning, time series forecasting, statistical modeling, computer vision, NLP, and multimodal learning.
• Experience with data preprocessing, feature engineering, data visualization, and quantitative analysis.
• Demonstrated ability to build scalable data pipelines and process large, unstructured datasets.
• Excellent communication skills, with experience presenting technical findings to diverse audiences.
• Individual must meet government NAC and citizenship/permanent residency requirements for access to NASA GSFC.
• Extensive background investigation will be performed as a requirement of the job.

Nice To Haves

• Research experience in academic or government settings (e.g., NASA).
• Experience developing vision-language models and multimodal neural network architectures.
• Prior teaching or mentoring experience in computer science or data analytics.
• Publications or presentations at scientific conferences.

Responsibilities

• Develop, implement, and optimize machine learning and deep learning models for scientific and real-world applications, including vision-language systems and multimodal architectures.
• Construct and manage large-scale datasets (e.g., image-text pairs) for model training and evaluation.
• Design and execute multi-stage inference pipelines, evaluation frameworks, and fine-tuning strategies to improve model reliability and accuracy.
• Apply statistical modeling and time series forecasting techniques (e.g., SARIMA, LSTM) to predict trends in domains such as sustainable aviation fuels and green hydrogen.
• Analyze complex datasets using regression, NLP, and quantitative methods to extract actionable insights for policy and research.
• Collaborate with cross-functional teams, including NASA scientists and academic researchers, to disseminate findings through publications and presentations.
• Author technical documentation and present diagnostics and results at conferences and symposiums.
• Teach and mentor students in data analytics and computer science, developing supplementary materials and project-based modules.
• Additional duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level