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Remote Lidar Data Processing Jobs in Oklahoma (NOW HIRING)

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Remote Lidar Data Processing information

What is remote lidar data processing?

Remote LiDAR data processing involves handling and analyzing LiDAR (Light Detection and Ranging) data from a location other than where the data was collected. Professionals use specialized software to process large datasets, extract features like terrain models or vegetation, and generate 2D or 3D representations of landscapes. This remote work setup allows teams to collaborate globally, efficiently process data for industries like mapping, forestry, and urban planning, and deliver results without being physically present at the survey site.

What are the key skills and qualifications needed to thrive in remote lidar data processing?

To thrive as a Remote Lidar Data Processing Specialist, you need a solid background in geospatial sciences, data analysis, and remote sensing, often supported by a relevant degree such as geography, GIS, or engineering. Familiarity with specialized software like LAStools, ArcGIS, and Global Mapper, as well as experience with data formats such as LAS and point cloud processing, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for ensuring data accuracy and collaborating with team members. These skills and qualifications are important because they enable precise data interpretation, efficient workflow, and the delivery of high-quality geospatial products to clients.

What are some common challenges faced in remote lidar data processing, and how can they be overcome?

Professionals working in remote Lidar data processing often encounter challenges such as managing large datasets, ensuring data accuracy, and troubleshooting software or hardware compatibility issues. Effective organization and use of cloud-based storage solutions can help handle large volumes of data efficiently. Additionally, staying up-to-date with the latest processing software and regularly participating in team meetings or online forums can aid in resolving technical problems and maintaining data quality. Proactive communication with team members also ensures smooth collaboration, even in a remote work setting.

What is the difference between Remote Lidar Data Processing vs Remote GIS Analyst?

AspectRemote Lidar Data ProcessingRemote GIS Analyst
Required CredentialsTypically requires GIS or remote sensing certifications, technical skills in lidar softwareRequires GIS certifications, spatial analysis skills, and often a degree in geography or related field
Work EnvironmentPrimarily technical, focused on lidar data handling and processing softwareMore analytical, involving spatial data analysis, mapping, and reporting
Industry UsageUsed in surveying, mapping, environmental monitoring, infrastructure planningApplied in urban planning, environmental management, resource allocation

Remote Lidar Data Processing focuses on handling and analyzing lidar point cloud data, while Remote GIS Analysts interpret spatial data for decision-making. Both roles require GIS knowledge but differ in technical focus and application areas.

What are the most commonly searched types of Lidar Data Processing jobs in Oklahoma?

The most popular types of Lidar Data Processing jobs in Oklahoma are:

What are popular job titles related to Remote Lidar Data Processing jobs in Oklahoma?

For Remote Lidar Data Processing jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Remote Lidar Data Processing jobs in Oklahoma look for?

The top searched job categories for Remote Lidar Data Processing jobs in Oklahoma are:

What cities in Oklahoma are hiring for Remote Lidar Data Processing jobs?

Cities in Oklahoma with the most Remote Lidar Data Processing job openings:

Principal Data Scientist

Oklahoma City, OK • On-site, Remote

Full-time

Posted 14 days ago


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Company rating: 7.6 out of 10

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Job description

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By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

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Principal Data Scientist

Job Responsibilities

  • Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.
  • Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.
  • Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.
  • Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.
  • Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.
  • Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.
  • Establish best practices for model development, experimentation, validation, and reproducibility.
  • Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.
  • Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.
  • Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies.
  • Provide technical guidance to data scientists and analysts across the organization.
  • Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor.
  • Translate complex analytical findings into clear, actionable insights for business leaders and operational teams.
  • Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.
  • Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities.
  • Ensure analytical methodologies align with enterprise governance standards and regulatory expectations.
  • Contribute to Sedgwick's broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.
  • Lead research and innovation initiatives that advance Sedgwick's predictive analytics capabilities.

Qualifications

  • Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.
  • 8–12+ years of experience in data science, statistical modeling, or advanced analytics roles.
  • Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.
  • Strong programming skills in Python, R, or similar analytical languages.
  • Extensive experience working with large, complex datasets in enterprise environments.
  • Proven experience designing and implementing end-to-end modeling pipelines.
  • Strong understanding of model validation, feature engineering, and performance evaluation techniques.
  • Experience collaborating with engineering teams to deploy models into production systems.
  • Familiarity with distributed data processing tools and modern data platforms preferred.
  • Experience in insurance, claims management, healthcare, or financial services analytics preferred.
  • Ability to communicate advanced analytical concepts to both technical and non-technical stakeholders.
  • Demonstrated ability to lead complex analytical initiatives that drive measurable business value.
  • Strong mentoring and technical leadership capabilities.

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Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com


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