Hybrid Senior Data Scientist – Tornado LiDAR Analytics

FWI (FedWriters, Inc.); Norman (OK); Hybrid; USD 83,000 - 87,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Long-term and Short-term Disability

Life Insurance

401(k) Plan

Holiday Pay

Paid Time Off

Job summary

FWI (FedWriters, Inc.) is seeking a LIFT Data Analyst to support NOAA's National Severe Storms Laboratory in Norman, Oklahoma. You will lead scanning strategy development and analyze data from NSSL's pulsed Doppler wind LiDAR to advance the LIFT project and VORTEX-USA program.

The role requires 8+ years of experience in meteorology or atmospheric science, with heavy emphasis on data workflows, field data processing, and collaboration with field teams.

Qualifications

• MA/MS in meteorology, atmospheric science, or related field (PhD preferred).
• 8+ years of professional and/or academic experience.

Responsibilities

• Test, analyze, and implement scanning strategies using NSSL's pulsed Doppler wind LiDAR in support of NSSL research goals.
• Develop workflows to process, synthesize, and analyze existing NSSL lidar observations collected for LIFT.
• Collaborate with lidar manufacturer to incorporate updates and implement custom data collection solutions.
• Analyze LIFT LiDAR observations leading to peer-reviewed publication.
• Contribute to a modeling study on tornado-scale processes guided by LIFT LiDAR observations.
• Provide technical documentation for development activities.
• Prepare quarterly status reports and AMS-guided reports for conferences.

Skills

Python

Data analysis

Education

MA/MS in meteorology, atmospheric science

PhD preferred

Tools

HPC resources

Job description

FWI (FedWriters, Inc.) is seeking a LIFT Data Analyst to support NOAA's National Severe Storms Laboratory in Norman, Oklahoma. You will lead scanning strategy development and analyze data from NSSL's pulsed Doppler wind LiDAR to advance the LIFT project and VORTEX-USA program.

The role requires 8+ years of experience in meteorology or atmospheric science, with heavy emphasis on data workflows, field data processing, and collaboration with field teams.