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Radiance Technologies

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 are the key skills and qualifications needed to thrive as a remote behavioral data scientist?

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.
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Remote Sensing Scientist

Radiance Technologies

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 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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