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Remote Applied Intelligence Jobs in Ohio (NOW HIRING)

Senior Scientist

Dayton, OH ยท Remote

$88K - $121K/yr

Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation. * Prior experience in a defense or intelligence community environment supporting classified programs.

New

Senior Scientist

Dayton, OH ยท Remote

$88K - $121K/yr

Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation. * Prior experience in a defense or intelligence community environment supporting classified programs.

New

Senior Scientist

Dayton, OH ยท Remote

$85K - $116K/yr

... remote sensing analytics in support of intelligence and defense missions. Why Skyline Scientific ... Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied ...

Director of Finance and Business Intelligence Location: Remote -- US or Canada \\n About the Role ... applied ML / data science experience with a track record of production systems that delivered ...

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Intellectual curiosity, comfort with ambiguity, and desire to continuously learn Additional ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

$52K - $81K/yr

Remote About the Role Hyland is looking for a detail-oriented and organized Government Contracts ... Excellent collaboration and interpersonal skills applied successfully within teams and across the ...

New

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Intellectual curiosity, comfort with ambiguity, and desire to continuously learn Additional ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

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Remote Applied Intelligence information

What are some common challenges faced by professionals in Remote Applied Intelligence roles, and how can they be addressed?

Remote Applied Intelligence professionals often encounter challenges such as ensuring effective collaboration across distributed teams, maintaining clear communication with stakeholders, and managing data security when working with sensitive information offsite. To address these issues, it's important to use secure, cloud-based collaboration tools, establish regular check-ins with colleagues, and follow best practices for data privacy. Staying proactive about communication and leveraging project management platforms can help remote team members stay aligned and productive.

What is a Remote Applied Intelligence job?

A Remote Applied Intelligence job involves leveraging artificial intelligence, machine learning, data analytics, and related technologies to solve business problems and drive decision-making, all while working from a remote location. Professionals in this field analyze large data sets, build predictive models, and develop intelligent solutions that can optimize processes, improve customer experiences, or uncover new business opportunities. The 'remote' aspect means the work is performed outside of a traditional office, offering flexibility and the ability to collaborate with global teams using digital tools.

What are the key skills and qualifications needed to thrive as a Remote Applied Intelligence professional, and why are they important?

To excel as a Remote Applied Intelligence professional, you need a solid background in data analysis, machine learning, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Proficiency in technical tools such as Python, R, SQL, cloud computing platforms, and relevant AI or data science certifications is highly valued. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies enable professionals to extract actionable insights from data, drive innovation, and succeed in a distributed work environment.
What are the most commonly searched types of Applied Intelligence jobs in Ohio? The most popular types of Applied Intelligence jobs in Ohio are:
What job categories do people searching Remote Applied Intelligence jobs in Ohio look for? The top searched job categories for Remote Applied Intelligence jobs in Ohio are:
What cities in Ohio are hiring for Remote Applied Intelligence jobs? Cities in Ohio with the most Remote Applied Intelligence job openings:

Senior Scientist

GRVTY

Dayton, OH โ€ข Remote

$88K - $121K/yr

Other

Posted 2 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a customer facility in Dayton, Ohio.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance - including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR - from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active TS/SCI clearance with CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills - you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.