Junior Data Scientist

Redhorse • Full-time • Arlington, VA, USA • 2w ago

Positon Description

Redhorse is hiring for a Junior Data Scientist to support the Chief Digital Artificial Intelligence Office’s (CDAO) contribution in the DoD’s integrated biosurvelliance (IB) program. IB is a cornerstone of biodefense, requiring intelligence collection, analytic capabilities, and information sharing. IB is the process of gathering, integrating, interpreting, and communicating essential information related to all-hazard threats (biological, chemical, nuclear terrorist attacks; extreme weather events; naturally occurring emerging infectious diseases) or disease activity affecting human, animal, or plant health to achieve early detection and warning, to contribute to overall situational awareness of the health aspects of an incident, and to enable better decision-making at all levels. This position is part of a team that will leverage Advana’s data, analytics, AI, and automation capabilities in collaboration with ongoing efforts supported by multi-intelligence and multi-domain systems across different organizations.

Job Responsibilities

Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases.
Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance.
Documents and presents requirements, design alternatives, and findings to team members and clients.
Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.
Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.
Maintains and guides the development of common libraries and tools used by multiple teams.
Aids in formulating a strategy on how to achieve rapid prototyping.

Required Skillset/Education

Bachelor’s degree plus 1-3 years’ experience, or a Master’s Degree plus 1-3 years of experience.
Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory.
Experience in an ML engineer or data scientist role building ML models.
Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility.
Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models.
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
Active Top Secret/SCI clearance