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• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

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POSITION SPECIFICS​

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

Required skills/knowledge areas include:

• 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