Data Scientist 3 - 25605 - Full-time

Position Overview

HII-Mission Technologies is seeking a skilled Data Scientist/Engineer to design, develop, and implement database architectures, tools, and techniques for managing extremely large data sets for a DoD customer's organization. This role is part of the Warfare Systems group within HII’s Mission Technologies division, supporting sensitive cyber and mission IT initiatives. Anticipated Salary Range: $99,336.00 - $132,500.00.

Key Responsibilities

• Investigate, determine, and implement suitable open-source tools for storage, management, and utilization of extremely large data sets.
• Implement methodologies for extracting key data points for analysis.
• Conduct data exploration, analysis, and feature extraction to support data pipelines and workflows.
• Collaborate in creating, maintaining, and augmenting an on-premises compute environment.
• Translate requirements into technical capabilities for various teams and present status reports to internal stakeholders.
• Evaluate new tools, technologies, and processes to improve the compute environment.
• Gain familiarity with the customer mission to develop tailored data management and workflow solutions.
• Propose solutions and strategies to meet unique challenges within the DoD customer’s organization.
• Configure Linux systems and handle capacity planning for large-scale data analytics on-premises and in the cloud.
• Perform additional duties as assigned.

Required Qualifications

• At least 5 years of relevant experience with a Bachelor’s degree or 3 years with a Master’s degree in a related field.
• Experience defining requirements for using and maintaining open-source data analytics, data workflow, and database tools.
• Proven ability to develop, implement, and maintain data analytic protocols, standards, and documentation.
• Expertise in designing data models based on complex analysis requirements.
• Ability to define vendor requirements to meet the DoD customer’s organizational needs.
• Experience working with multiple types of datasets and database technologies, including building end-to-end data pipelines.
• Familiarity with industry standard cloud and on-premise database technologies.
• Proficiency in data exploration, analysis, and visualization tools such as Python and Matlab.
• Strong experience in a Linux operating environment.
• Familiarity with open-source containerization technologies and their application in database and analytics contexts.
• Ability to define internal process improvements to minimize downtime between analyses.
• Clearance: Must start with Secret clearance and be able to obtain and maintain a TS/SCI clearance with enhanced security checks.