Junior Exploitation Specialist/Photogrammetrist

First Roles; St. Louis (MO); Presencial; USD 59 000 - 107 000; Tempo parcial

Resumo da oferta

Leidos is seeking a Junior Exploitation Specialist/Photogrammetrist to support geodetic survey missions in the United States. You will assist a senior photogrammetric lead in producing multi-source remote reconnaissance packages using LiDAR, EO imagery and co-registration of datasets.

You will coordinate with Requirements and Mission Managers, ensure timely package completion, and contribute to SOPs. Strong communication and data analysis skills are essential for success.

Qualificações

• Active TS/SCI clearance (required).
• High school diploma with 2–3 years relevant experience.
• Basic knowledge of photogrammetry, LiDAR processing and EO point cloud generation.
• 1–3 years of experience processing and analyzing LiDAR data or EO point clouds and documenting precision and error per standards.
• Basic experience co-registering multiple datasets to the WGS84 reference frame and performing statistical error analysis.
• Basic experience with elevation/point cloud software (QT Modeler, Socet Set) and ArcGIS Pro.
• Knowledge of vector/raster data formats and shapefiles.
• Good oral and written communication skills.

Responsabilidades

• Assist in producing multi-source remote reconnaissance packages for geodetic survey missions.
• Build packages per SOPs and standards with guidance from the senior lead.
• Complete packages at least two weeks before deployment.
• Coordinate with Requirements Manager and Mission Leaders to ensure accessibility and content understanding.
• Gather post-deployment feedback to refine processes.
• Contribute to SOPs and geodetic standards revisions.
• Keep stakeholders informed on status and completions.
• Identify data sources and optimization methods for package generation.
• Resolve data accessibility issues across branches and field teams.

Conhecimentos

Photogrammetry basics

LiDAR processing

EO point clouds

Data co-registration to WGS84

Statistical error analysis

QT Modeler

Esri ArcGIS Pro

Strong communication

Formação académica

High School Diploma

STEM degree

Ferramentas

QT Modeler

Socet Set

Esri ArcGIS Pro

Descrição da oferta de emprego

We are seeking a Junior Exploitation Specialist/Photogrammetrist to provide photogrammetry support to our customer. You will work under the direction of a senior-level photogrammetric lead and help produce multi-source remote reconnaissance packages for geodetic survey missions. The work draws on LiDAR processing and analysis, point cloud generation from Electro-Optical (EO) imagery, and co-registration of multi-source datasets.

Responsibilities

• Assist in producing multi-source remote reconnaissance packages for planned and ad hoc geodetic survey missions, using existing data and services to meet yearly requirements.
• Build packages consistent with relevant SOPs and standards designated by the senior-level photogrammetric lead, with guidance as needed.
• Complete packages at least two (2) weeks before deployment, unless the mission is first announced within that window.
• Coordinate with the customer’s Requirements Manager, Mission Managers, and Team Leads to ensure packages are accessible and to answer questions about content or usage.
• Gather post-deployment feedback on package usability from the Geodetic Surveys Requirements Manager, Mission Manager, Tech Team, and Team Leads, and work with the senior lead to refine the process.
• Provide input to senior-level revisions of SOPs, geodetic standards, and other package-generation documentation.
• Keep the Requirements Manager, Mission Managers, and senior photogrammetric lead informed of status and completions.
• Identify potential data sources and optimization methods for the package generation process.
• Help identify data accessibility issues affecting geographically separated branches and field teams.

Required Qualifications

• Active TS/SCI clearance (required)
• High school diploma and 2–3 years of relevant experience
• Basic knowledge of photogrammetry, LiDAR processing and analysis, and EO point cloud generation
• 1–3 years of experience processing and analyzing LiDAR data or EO point clouds, and documenting precision and error per existing data standards
• Basic experience co-registering multiple datasets to the WGS84 reference frame and performing statistical analysis to determine absolute and relative error
• Basic experience with QT Modeler, Socet Set, or similar elevation/point cloud processing and analysis software
• Basic experience with ESRI ArcGISPro
• Knowledge of digital data formats such as vector data, raster data, and shapefiles
• Good oral and written communication skills

Desired Qualifications

• STEM degree
• Familiarity with emerging AI technologies, tools, and methodologies, and their applications and implications in the geospatial and intelligence domains
• Geodetic or land surveying experience or coursework
• Knowledge of geodetic or statistical principles
• Knowledge of standard customer products
• Familiarity with customer systems architecture, including unclassified cloud environments

Security Requirement

Candidates must currently hold an active TS/SCI clearance and be able to maintain it. Applicants without an active TS/SCI clearance cannot be considered.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Pay Range

Pay Range $59,150.00 - $106,925.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.