Data Scientist I

Arcfield•Chantilly, VA

About The Position

Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve decision-making, driving innovation, optimizing operations, and adding measurable value to our customer’s Ground Enterprise. The ideal candidate will be able to combine technical know-how with business acumen to create impactful solutions.

Requirements

Must possess and be able to maintain a TS/SCI clearance with polygraph
BS 0-2 Years of HS 6-8
Interest in solving technical problems
Strong analysis skills
Good presentation and communication skills
Ability to work independently and within a team environment
Experience with or understanding of cloud-based tools for data analysis

Nice To Haves

Degree in Engineering (e.g. aerospace, mechanical, electrical, computer/software), Computer Science, Data Science, Imaging Science, Mathematics, Physics or other related technical fields
Interest in writing code
High degree of computer literacy
Experience in applying machine learning techniques, algorithm analysis, and data clustering
Experience with utilizing open-source textual processing tools for data processing tasks
Demonstrated experience with employing visual analytic tools for data interpretation
Experience with applying entity extraction and conceptual search technologies
Experience with Unix/Linux Scripting
Experience with Python, C/C++, Fortran, or similar
Experience with MS Excel, Python, R, MATLAB, or similar
Experience with Data Mining, Analysis, Statistics, Performance Analysis, or Predictive Analytics and Reporting using various methods and tools
Ability to demonstrate experience in software development using platforms like: Open-source enterprise software (e.g., Java, Linux, Ruby, Python), Windows development stack (e.g., .NET, C#, C++)

Responsibilities

Working on assignments requiring considerable judgment and initiative
Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises computing environments
Support pipeline development for data, software, and algorithm delivery to ensure reliability, security compliance, and seamless integration across domains
Support project development by visualizing, analyzing, trending, and providing metrics for Systems Program Office -level projects
Provide technical support for research, development, and the systematic transition of advanced data fusion, analytics, and automated workflow solutions to operational environments
Draft solutions to routine technical problems
Assist with developing and executing data management plans and policies
Perform analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
Participate in large-scale analysis of unstructured data for high-value use cases visualized through multi-dimensional interfaces
Handle processing and indexing requests for both high-volume data collections and high-velocity data streams
Identify insights, patterns, and trends in big data environments using computational and technical skills
Assist with designing, developing, and deploying sophisticated applications using advanced unstructured or semi-structured data analysis techniques
Interpret, connect, predict, and deliver actionable recommendations based on complex data analysis
Support data transportation and transformation tasks