Usarpac Data Scientist (Data Scientist 1)- 15568

Summary

HII-Mission Technologies is currently seeking a Data Scientist to support our US Army Pacific (USARPAC) customer in Honolulu, HI! Come join our growing team today!

As an entry level Data Scientist, you are responsible for building the next generation of data driven products and systems focusing on capability delivery to end users. You will be a member of a “Big Data” Team of specialists within the multi-disciplinary agile development team. As a Data Scientist, you will help manage requirements collection, software code, development and delivery – full lifecycle – in support of analysts. You will engage in software solution planning and creation to ensure capabilities are delivered using the latest available technologies and methods. The Data Scientist will operate in a “RAD/JAD” environment in which tasks are rapidly defined and then executed to insure maximum user input, feedback and adoption. The Data Scientist Team ensures the interoperability of the in-house capability with outside partners.

What you will do

• Compiles reports, charts, and tables based on established statistical methods
• Conducts surveys, evaluates reliability of source information, adjusts and weighs raw data, analyzes and interprets statistics and organizes results
• Provides support to senior staff on projects/programs; familiarity with standard concepts, practices, and procedures within a variety of fields related to the project
• Additional duties as assigned
• Conducts research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software
• Prepares conclusions and predictions based on data summaries
• Ensures software standards are met
• Plans methods to collect information and develop questionnaire techniques according to survey design
• Participates in software and systems testing, validation, and maintenance processes through test witnessing, certification of software, and other activities as directed
• Collects, analyzes and interprets numerical data from various sources such as surveys, experiments, and studies
• Helps design, modify, develop, write and implement software systems

What we are looking for

• R
• Machine learning, data mining, and knowledge discovery
• Operating systems including: Linux and Windows
• Computer literacy, word processing and presentation development
• Understanding networking, computer, and storage technologies
• Analytic algorithm design and implementation
• 0 years of experience with Bachelors in related field; or High School Diploma or equivalent and 4 years relevant experience
• Clearance: Must be able to possess and maintain a TS/SCI
• ETL processes; including document parsing techniques
• Proficiency in trouble-shooting in very complex distributed environments including following stack traces back to code and identifying a root cause
• Widows Office Suite, i.e. Word, Excel, PowerPoint, Outlook, Teams, OneDrive
• Data visualization
• Basic knowledge of the following:
  • Python
  • R
  • Operating systems including: Linux and Windows
  • Widows Office Suite, i.e. Word, Excel, PowerPoint, Outlook, Teams, OneDrive
  • Machine learning, data mining, and knowledge discovery
  • Analytic algorithm design and implementation
  • ETL processes; including document parsing techniques
  • Data visualization
  • Understanding networking, computer, and storage technologies
  • Proficiency in trouble-shooting in very complex distributed environments including following stack traces back to code and identifying a root cause
• Python

Bonus points for...

• Familiarity with Julia, JavaScript, HTML, CSS, Java
• Web services environment and technologies such as XML, KML, SOAP, and JSON
• Be able to identify and utilize geospatial concepts
• Using or designing RESTful APIs, SOAP, XML
• Developing large cloud software projects, preferably in Java, Python or C++ language
• Working in cloud platforms, e.g. AWS, GCP, Azure, etc.
• Previous support of USARPAC in a Data Science role

Physical Requirements

May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances.