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Flexible Lidar Data Analyst Jobs in Belgrade, MT

Lab Analyst II

Bozeman, MT · On-site

$19.59 - $24.52/hr

Health savings (HSA), healthcare & dependent care flexible spending (FSA) accounts * Company paid ... Performs a variety of laboratory tasks, including sample preparation, data analysis, and equipment ...

Senior NPI Test Engineer

Bozeman, MT · On-site

$135 - $216/hr

Data management and analysis to track production test performance metrics, prioritize top issues ... Familiarity with FMCW LiDAR and/or RF transceivers. * Experience with optical system prototyping ...

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Senior NPI Test Engineer

Bozeman, MT · On-site

$135K - $216K/yr

Data management and analysis to track production test performance metrics, prioritize top issues ... Familiarity with FMCW LiDAR and/or RF transceivers. * Experience with optical system prototyping ...

... Solutions, Terrestrial LiDAR, 3D Scanning, Structural Design, Project Management, Community ... The candidate must be a problem solver, capable of effective communication, and possess analytical ...

Senior NPI Engineer

Bozeman, MT · On-site

$115 - $184/hr

... lidar systems at manufacturing partners. * Yield analysis monitoring and drive continuous ... Review data packages before they are released for manufacturing. * Create and maintain work ...

Senior NPI Engineer

Bozeman, MT · On-site

$106K - $146K/yr

... lidar systems at manufacturing partners. * Yield analysis monitoring and drive continuous ... Review data packages before they are released for manufacturing. * Create and maintain work ...

Proficient in data analysis, using data to drive decision-making. * Exceptional communication and ... Life/AD&D Insurance Health Savings Account with up to $1,000 Company contributions Flexible ...

Proficient in data analysis, using data to drive decision-making. * Exceptional communication and ... Life/AD&D Insurance Health Savings Account with up to $1,000 Company contributions Flexible ...

Proficient in data analysis, using data to drive decision-making. * Exceptional communication and ... Life/AD&D Insurance Health Savings Account with up to $1,000 Company contributions Flexible ...

Proficient in data analysis, using data to drive decision-making. * Exceptional communication and ... Life/AD&D Insurance Health Savings Account with up to $1,000 Company contributions Flexible ...

Sales Manager - Bozeman, MT

Bozeman, MT · On-site

$72.90 - $103.90/hr

Develop innovative ways to improve business performance through data analysis, brand marketing ... Work life balance options, including potential flexible work hours * A minimum of 3 weeksvacation ...

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Showing results 1-20

Flexible Lidar Data Analyst information

See Belgrade, MT salary details

$36.4K

$88.4K

$145.5K

How much do flexible lidar data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for flexible lidar data analyst in Belgrade, MT is $88,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $103,800.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Lidar Data Analyst vs Lidar Data Technician?

AspectFlexible Lidar Data Analyst
Required CredentialsTypically requires a degree in geospatial, GIS, or related fields; certifications in lidar data processing are common
Work EnvironmentPrimarily office-based with field data collection; involves data analysis, processing, and reporting
Employer & Industry UsageUsed in surveying, environmental, urban planning, and infrastructure projects

While both roles work with lidar data, the Flexible Lidar Data Analyst focuses on data processing, analysis, and interpretation, often in an office setting. In contrast, the Lidar Data Technician primarily handles data collection and initial processing in the field. The analyst role requires more advanced analytical skills and certifications, whereas the technician role emphasizes fieldwork and data acquisition.

How much do flexible Lidar Data Analysts make?

Flexible Lidar Data Analysts typically earn between $60,000 and $100,000 annually, depending on experience, location, and specific industry. Skills in data processing, GIS, and proficiency with Lidar software can influence salary levels.

What cities near Belgrade, MT are hiring for Flexible Lidar Data Analyst jobs?

Cities near Belgrade, MT with the most Flexible Lidar Data Analyst job openings:

Infographic showing various Flexible Lidar Data Analyst job openings in Belgrade, MT as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $88,394 per year, or $42.5 per hour.

Applied Machine Learning Engineer

Bridger Photonics, Inc.

Bozeman, MT • On-site

Full-time

Posted 2 days ago

New


Job description

About Bridger Photonics, Inc.
Bridger Photonics is a technology company making a global impact on emissions reduction. Built on the foundation of our cutting-edge aerial methane detection technology, we provide industry-leading data and analytics that empower companies to reduce emissions efficiently and strategically. As we continue to expand our solutions, we remain committed to making emissions detection simple, scalable, and impactful.
Headquartered in Montana, our technology was first introduced in the USA where we quickly became a leader in methane emissions management. These results have allowed us to rapidly scale internationally. We're a fast-growing team of innovators-from engineers and scientists to business and operations experts-dedicated to solving complex challenges. If you're looking to apply your talents to work that enables companies making a difference, join us in shaping the future of emissions reduction.
About the role
We are looking for an Applied Machine Learning Engineer to join our small but growing Machine Learning team. We use ML to improve the efficiency and accuracy of detecting and quantifying methane emissions, and we are actively expanding ML's role in our detection pipeline to reduce cost of goods, improve reliability, and enable the platform to scale to new geographies and customers. You'll own production models end-to-end, from dataset and feature work through training, evaluation, and validation in production. You'll also help build the agentic AI systems we're developing for internal automation and customer-facing product capabilities.
What you'll do
  • Train, iterate on, and improve the models in our detection pipeline, focusing on accuracy, efficiency, and generalization across geographies
  • Build and automate training and retraining workflows with Dagster, and dataset and feature pipelines on top of our ML platform (ML flow, DVC)
  • Design and run the offline experiments and evaluations that decide which model versions ship
  • Build agentic AI systems that automate internal workflows and power customer-facing product capabilities
  • Collaborate closely with our ML research partner on model development and our platform engineers on deployment, surfacing insights that shape ML platform and model priorities
  • Build monitoring and observability into ML pipelines from the start, and share on-call responsibility for production ML systems

Qualifications
  • Python proficiency and experience with at least one ML/DL framework (PyTorch preferred)
  • 2+ years experience training models and building or operating ML pipelines in production
  • Proficiency with Git and collaborative development workflows (branching, code review, CI/CD)
  • Experience with SQL and relational databases (PostgreSQL preferred)
  • Familiarity with data lake architectures and columnar storage formats (Parquet, S3)
  • Familiarity with containerized deployments (Docker, Kubernetes)
  • Experience with cloud computing providers, preferably AWS
  • Comfortable working across multiple layers of the tech stack

Preferred Qualifications
  • Experience with computer vision models and image datasets (familiarity with point cloud or LiDAR data is a plus)
  • Experience with any of: KServe, MLflow, Dagster, DVC, or similar ML tooling
  • Experience building LLM-based applications or agentic systems (tool use, evaluation, prompt engineering)
  • Experience with geospatial data tools or extensions (PostGIS, GeoPandas, GDAL)
  • Exposure to event-driven architectures (Kafka, CDC patterns)