Remote job
Data Scientist I
Job details
About this role
Role overview
Entry-level data science position focused on turning high-volume, high-velocity, unstructured, and semi-structured data into useful analysis, visualizations, metrics, and operational tools. The role supports the lifecycle of data science and AI/ML capabilities across cloud and on-premises environments, from data transport and transformation through model delivery, analytics, and transition into operational use.
Responsibilities
- Help operate, onboard, and transition large-scale data science and machine-learning models in cloud and on-premises computing environments. - Support reliable, secure pipelines for delivering data, software, and algorithms across integrated systems. - Visualize, analyze, trend, and report metrics for complex technical and program-level efforts. - Assist research and development involving data fusion, advanced analytics, automated workflows, and operational transition. - Analyze unstructured data using techniques such as entity identification, tagging, conceptual search, latent semantic indexing, and complex event processing. - Process and index large data collections and streaming sources, identify patterns and trends, and provide actionable conclusions from complex analysis.
Requirements
- Ability to obtain and maintain a TS/SCI clearance with polygraph. - The source describes an entry-level profile aligned with a bachelor’s degree and 0–2 years of experience, or an equivalent high-school-based experience range. - Strong interest in solving technical problems, with analytical, presentation, and communication skills. - Ability to work independently and collaboratively. - Experience with or understanding of cloud-based tools for data analysis.
Nice to have
- Degree in engineering, computer science, data science, imaging science, mathematics, physics, or another related technical discipline. - Interest or experience in programming, machine learning, algorithm analysis, clustering, data mining, statistics, predictive analytics, or performance analysis. - Experience with Python, R, MATLAB, C/C++, Fortran, Unix/Linux scripting, Excel, or comparable tools. - Familiarity with open-source text-processing tools, visual analytics, entity extraction, conceptual search, or high-performance distributed computing. - Exposure to software development using open-source enterprise technologies or Windows development stacks.
Benefits and work setup
The source describes potential benefits that may vary by position, including health and life insurance, paid time off, holiday pay, disability coverage, retirement and savings programs, learning and development, wellness programs, and optional benefit elections. Compensation may depend on experience, skills, education, certifications, location, and applicable government labor categories.