Remote Sensing Data Scientist

Creve Coeur, MO, US • Posted 10 days ago • Updated 10 days ago
Contract W2
On-site
$75 - $85/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytical Skill
  • Analytics
  • Artificial Intelligence
  • CGI
  • Geospatial Analysis
  • Field Operations
  • Data Science
  • GDAL
  • Geomatics
  • OpenCV
  • Python
  • Remote Sensing

Summary

Duration: 1 year Contract

Job Description:

  • We are seeking a highly skilled Remote Sensing Data Scientist with deep expertise in remote sensing principles, machine learning, deep learning, geospatial analytics, and image processing to join our dynamic team. The ideal candidate has a proven track record working with remote sensing data (satellite, aerial imagery) and can translate imagery into actionable insights through advanced modeling techniques.
  • In this role, you will collaborate with scientists across multiple disciplines as well as IT, engineering, and product teams to deliver innovative analytics that directly drive data informed decision making within customer operations. informed decision making within customer operations.

Responsibilities:

  • Apply foundations of remote sensing and advanced techniques in image analysis, geospatial analytics, machine learning, and deep learning to extract insights from complex imagery datasets (e.g., multispectral, hyperspectral, SAR).
  • Build, validate, and operationalize predictive and prescriptive analytics solutions that enhance efficiency, reliability, and decision making across agricultural operations.
  • Design and implement pipelines for imagery ingestion, preprocessing, feature extraction, and model deployment at scale.
  • Write comprehensive model documentation, including problem framing, data requirements, modeling approach, validation, and operationalization.
  • Adhere to data science best practices peer review, code review, reproducibility, and version control.
  • Collaboration & Communication
  • Partner closely with agronomic scientists, biologists, field operations teams, and digital product teams to co develop remote sensing solutions aligned with business needs.
  • Collaborate with customer global Data Science community to leverage shared tools, platforms, and modeling frameworks.
  • Communicate complex technical concepts, model performance, and insights to stakeholders clearly and effectively.

Experience:

  • Agriculture & Agronomy Background: Foundational understanding of agricultural systems, crop development, field operations, and agronomic principles. Ability to contextualize remote sensing insights within agronomic workflows (e.g., crop health diagnostics, field variability, environmental influences). Experience collaborating with agronomists or applying remote sensing to real world agricultural challenges is highly beneficial.
  • Cloud & Engineering Skills: Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) for scalable data processing and deployment.
  • Programming Skills: Proficiency in Python and common ML/DL libraries (TensorFlow, PyTorch, OpenCV, scikit learn). Experience with SQL for querying, transforming, and managing structured datasets. Strong coding discipline, including maintainable code, testing, version control (GitHub), and reproducible workflows. Familiary with AI assisted coding tools and technologies for rapid prototyping.
  • Soft Skills: High sense of ownership, curiosity, and motivation to deliver impactful analytic. Ability to explain technical findings to non technical audiences. Strong collaboration and communication skills across diverse functional teams.

Skills:

  • Imagery & Remote Sensing Expertise: Hands-on experience working with remote sensing datasets. Strong knowledge of image processing techniques (e.g., atmospheric correction, orthorectification, segmentation, and feature extraction). Experience with geospatial tools (e.g., GDAL, Rasterio, GeoPandas) and working with spatial data formats.
  • Machine Learning & Deep Learning: Proficiency in applying ML/DL methods to imagery: CNNs, semantic segmentation, object detection, time series modeling, usage of foundational models. Strong understanding of statistical concepts, model evaluation, and uncertainty quantification.

Education:

  • D. or M.S. (with 4+ years of experience) in Remote Sensing, Geospatial Science, Data Science, Agronomy, Imagery & Robotics, or related fields.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions 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 status as a protected veteran.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: usts
  • Position Id: 26-04066
  • Posted 10 days ago
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