Data Scientist - WPAFB - Clearance - 31014

HII's Mission Technologies division•Dayton, OH

1d•$103,467 - $132,500•Onsite

About The Position

HII-Mission Technologies is seeking a skilled Data Scientist/Engineer to design, develop, and implement database architecture, tools, and techniques for managing and using extremely large datasets for data analysts supporting a Department of Defense customer. The position is located at Wright Patterson Air Force Base (WPAFB), Ohio, within commuting distance of Beavercreek, Fairborn, Dayton, and Riverside. The role supports the development and operation of data management and analytics capabilities, including an on-premises compute environment and customer data pipelines and workflows. The successful candidate will investigate and implement suitable tools, translate requirements into technical capabilities, and develop solutions aligned with the customer’s mission and use cases.

Requirements

At least 5 years of relevant experience with a bachelor’s degree in a related field, or 3 years of relevant experience with a master’s degree in a related field.
Experience defining requirements for the use and maintenance of open-source data analytics, data workflow, and database tools.
Experience developing, implementing, and maintaining data analytic protocols, standards, and documentation.
Experience designing data models based on requirements for complex data analysis.
Experience defining vendor requirements for solutions that meet customer needs and use cases.
Experience working with multiple types of datasets and database technologies.
Experience building end-to-end data pipelines.
Experience with multiple industry-standard cloud and on-premises database technologies.
Experience with data exploration, analysis, and visualization tools such as Python and Matlab.
Experience and familiarity with the Linux operating environment.
Experience with open-source containerization technologies and tools, including their appropriate use for database technologies and analytics.
Ability to define internal process improvements that automate repetitive tasks and minimize downtime between analysis.
Secret clearance required to start; must be able to obtain and maintain a TS/SCI clearance with enhanced security checks.

Responsibilities

Investigate, determine, and implement suitable open-source tools for storing, managing, and using extremely large datasets.
Investigate, determine, and implement tools and methodologies for extracting key data points for analysis.
Conduct data exploration, analysis, and feature extraction for incorporation into customer data pipelines and workflows.
Help create, maintain, and augment an on-premises compute environment.
Translate requirements into capabilities for technical teams.
Present status reports to internal stakeholders.
Evaluate tools, technologies, and processes to improve the on-premises environment.
Develop familiarity with the customer’s mission to identify or develop data management and workflow solutions.
Propose solutions and strategies for challenges throughout the customer organization.
Perform Linux system configuration and capacity planning for large-scale data analytics in on-premises and cloud environments.
Carry out additional duties as assigned or required.