Data Scientist (Data Scientist 3)- 20737

Requisition Number: 20737 

Required Travel: 0 - 10% 

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $114,236.00 - $163,194.00 

Security Clearance: Secret  

Level of Experience: Mid HI

 

This opportunity resides with Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR), a business group within HII’s Mission Technologies division. From towers to processors, we design, develop, integrate and manage the sensors, systems and other assets necessary to support integrated intelligence, surveillance and reconnaissance (ISR) operations, exploitation and analysis for the Intelligence Community, the military services, geographic and functional combatant commands and DoD agencies. 

 

Meet HII’s Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you.

 

To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 

 

Summary

HII-Mission Technologies is currently seeking a skilled Data Scientist to provide strategic insight into the overall analytics roadmap of our DoD customer’s organization and apply statistical and machine learning methods to solve large-scale problems, including the full modeling lifecycle. You will be supporting a security organization whose mission is to protect our nation's critical assets through enterprise risk management, continuous innovation, and excellence in mission performance and customer service! This position will be performed at the DoD customer site in Quantico, VA, with a hybrid work schedule that includes some telework!

What you will do

• Gains familiarity with the data and processes, including image review, data analysis, and image data set curation, preparing and processing data
• Investigates and determines suitable machine learning technologies and available open-source resources (software applications, coding, and curated datasets) for a data-sparse context
• Conducts data exploration, analysis, and feature extraction, to incorporate into government roadmaps and data pipelines
• Provides strategic insight into the overall analytics roadmap of the organization, working closely with product owners, engineering and product development teams
• Applies statistical and machine learning methods to solve large-scale problems, including the full modeling lifecycle (e.g., data manipulation, building and evaluating models, interpreting and effectively communicating results, transitioning solutions to production, performance monitoring, recalibrating models, etc.)
• Analyzes large amounts of information to discover trends and create data visualization to summarize the modeling insights to effectively communicate them to internal team members and business stakeholders
• Presents information using data visualization techniques to senior stakeholders across the agency
• Proposes solutions and strategies to unique business challenges throughout the agency
• Additional duties as assigned or required 

What we are looking for

• 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience
• Industry experience with statistical software (Python, R) and database languages (SQL) 
• Experience with data analytics/visualization tools
• Demonstrated skill and knowledge in applying artificial intelligence and machine learning, to create and build machine learning models with Python, Spark, Databricks, and other libraries as determined
• Experience in data analysis, including:
  • Querying, segmenting, and visualizing data to evaluate hypotheses
  • Communicating impact to both technical and non-technical audiences
• Experience working with different types of datasets (unstructured, semi-structured, with missing information)
• Experience building data pipelines from end to end:
  • Understan