Data Science Research and Development Engineer
About The Position
We are looking for Data Science Engineers, to join our Geospatial Data Science team in the Applied Research You will aid our research efforts in this unique problem area that has applications in defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response. Our team is interested in both traditional and non-traditional backgrounds and multidisciplinary points-of-view. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Lead programs and teams and be part of a highly collaborative environment Collaborate with geospatial data analysts to understand and automate workflows and improve human processes to advance the discovery and modeling of associations, trends, patterns and system dynamics Support the creation of processes and algorithms to transform traditional GEOINT and open-source data into spatiotemporal information describing places, events, and activities Combine full spectrum source data with modeling capabilities that associate real world objects to known signatures and doctrines Develop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities Apply the scientific method across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation Support scientific research projects and develop geospatial algorithms while collaborating among diverse domains to further scientific understanding and the use of analytic tools Grow in career and capabilities, plan and conduct applied research, provide technical guidance and oversight, lead small-to-medium research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques Engage in research efforts ranging from proof-of-concept through integrated production systems
Requirements
- Relevant work in Data Sciences, Computer Sciences, or Geospatial Sciences
- Ability to design experiments, perform analysis, and design or apply meaningful metrics to measure results
- Adapt and learn new skills, to execute specific research projects, and to meet task deadlines and goals
- Computer programming in one or more of the following: Python, R, Java, C++, or Matlab
- Highly adaptable, creative, lateral thinkers that enjoy a collaborative environment
- Excellent communication skills, be dependable, responsive, curious, collaborative, and have high interpersonal skills
- Bachelor's Degree - Engineering or Science
- 14+ years of relevant experience (if filled as Research and Development Engineer - Senior Professional)
- 5+ years of relevant experience (if filled as Research and Development Engineer - Advanced Professional)
Nice To Haves
- A Master’s degree
- Work within DoD/IC Analysis or Operational environments
- Git, GUI development, open source scientific computation, computer vision, modeling, or machine learning tools
- High performance computing
Responsibilities
- Lead programs and teams and be part of a highly collaborative environment
- Collaborate with geospatial data analysts to understand and automate workflows and improve human processes to advance the discovery and modeling of associations, trends, patterns and system dynamics
- Support the creation of processes and algorithms to transform traditional GEOINT and open-source data into spatiotemporal information describing places, events, and activities
- Combine full spectrum source data with modeling capabilities that associate real world objects to known signatures and doctrines
- Develop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities
- Apply the scientific method across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
- Support scientific research projects and develop geospatial algorithms while collaborating among diverse domains to further scientific understanding and the use of analytic tools
- Grow in career and capabilities, plan and conduct applied research, provide technical guidance and oversight, lead small-to-medium research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques
- Engage in research efforts ranging from proof-of-concept through integrated production systems
Benefits
- Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
- In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time.
- One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
