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Remote Nhl Data Science Jobs in Florida (NOW HIRING)

Radiance Technologies

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The individual will support advanced remote sensing exploitation functions through detailed ... Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and ...

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What is the difference between Remote Nhl Data Science vs Remote Nhl Data Analyst?

AspectRemote Nhl Data ScienceRemote Nhl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentFocus on developing predictive models, advanced analytics, and machine learning algorithmsFocus on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageUsed by sports teams, analytics firms, and media for strategic insightsUsed by teams, broadcasters, and sports organizations for reporting and insights

Remote Nhl Data Science involves building predictive models and advanced analytics, requiring programming and machine learning skills. Remote Nhl Data Analysts focus on interpreting data, creating reports, and supporting strategic decisions. Both roles are essential in the sports industry but differ in technical complexity and focus areas.

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Infographic showing various Remote Nhl Data Science job openings in Florida as of August 2026, with employment types broken down into 9% Internship, 80% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.

Remote Sensing Scientist

Radiance Technologies

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Radiance is seeking a highly qualified and motivated scientist to support Geospatial Intelligence (GEOINT) production with the opportunity to continue advancement of non-literal spectral, thermal, and/or SAR analytical processes and techniques. The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the Processing, Exploitation, and Dissemination (PED) of remotely sensed data. The position requires working collaboratively with other engineers, scientists, and analysts on complex exploitation issues.
Job Duties
  • Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and disseminate GEOINT products
  • Provide technical leadership to teams performing exploitation and process development
  • Analyze and develop processes to support the exploitation of unique, anomalous, and difficult datasets utilizing engineering principles and a physics-based analytical approach
  • Perform algorithm development for complex data exploitation processes

Required Skills and Qualifications:
  • Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing, or other relevant technical field)
  • Experience in processing and analyzing remote sensing data
  • Active TS clearance with SCI eligibility
  • Understanding of signal processing techniques for solving new problems
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills

Desired Skills and Qualifications:
  • Interpretation of image-based data
  • Experience with ENVI, ArcGIS, and/or similar software tools
  • Ability to code/script, such as in Python, IDL, etc.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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