Data Scientist I

About the role

Arcfield is looking for an entry-level Data Scientist 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.

Duties

The ideal candidate will be able to combine technical know-how with business acumen to create impactful solutions. Duties include but are not limited to the following:

• 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

Requirements

• Must possess and be able to maintain a TS/SCI clearance with polygraph
• BS 0-2 Years or 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

Qualifications

• 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++)

Pay

Min: $66,456.39 Max: $115,554.76