Talantix.io
Nabat•09.02.26
AI SCORE 8.5

Senior Data Scientist (Geospatial AI) - Remote Opportunity

$120K–$150K/year
RemoteClimateTechVisaRelocation
Python•R•Machine Learning•Geospatial Analysis•Deep Learning•AWS

About the Role

We are seeking a highly skilled Senior Data Scientist (Geospatial AI) remote to join our innovative team at Nabat, a climate-tech startup based in the UAE. This role is pivotal in using advanced data science techniques to extract meaningful insights from complex geospatial datasets, contributing to our mission of addressing critical environmental challenges.

What You'll Do

  • Act as a senior contributor to develop analytical and predictive models for Nabat’s AI-powered ecosystem management platform.
  • Research, develop, train, validate, refine, and deploy models that provide scientific insights from geospatial data.
  • Collaborate with software and data engineers to design scalable AI/ML systems for processing and analyzing large geospatial datasets.
  • Communicate effectively with cross-functional teams, including product managers and ecologists, to deliver key initiatives.
  • Engage with researchers to enhance your expertise and lead the R&D roadmap for your domain.

Requirements

  • Master's degree in engineering, data science, mathematics, ecological or environmental science, or related fields.
  • Hands-on experience in AI/ML model development in geospatial, computer vision, or remote sensing domains.
  • Familiarity with machine learning techniques for image analysis and object detection.
  • Experience with data fusion from multiple sources to improve model performance.
  • Proficiency in geospatial data processing tools such as Python, R, QGIS, and cloud platforms like AWS or GCP.

Nice to Have

  • Experience in building products related to geospatial AI or environmental monitoring.

What We Offer

  • Generous relocation benefits including visa sponsorship for you and your family.
  • Opportunity to work in a well-funded early-stage startup with a focus on innovative technologies.
  • Collaborate with a world-class R&D team and contribute to impactful projects.
  • Comprehensive support packages to help you settle into your new role.
  • Work in one of the safest and most livable cities in the world, Abu Dhabi.
Why This Job8.5 of 10

This Senior Data Scientist role at Nabat offers a unique opportunity to work on impactful climate tech projects with generous relocation support.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Nabat

Explore Nabat careers in 2026 and discover a range of remote, hybrid, and office positions tailored for you. Utilize advanced filters and application tracking to streamline your job search. Gain valuable company insights and enhance your application with personalized resume tailoring. Stay informed with the latest industry news and seize your career opportunities at Nabat today!

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficient in Python and R for data manipulation and statistical analysis, with hands-on experience in libraries such as Pandas, NumPy, and Scikit-learn for machine learning and geospatial analysis.

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Strong understanding of AWS services, particularly in deploying machine learning models and managing geospatial data using tools like AWS SageMaker and Amazon S3, ensuring scalability and efficiency in cloud environments.

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Demonstrates a proactive mindset with a passion for solving environmental challenges, leveraging deep learning techniques to analyze complex datasets, and staying current with advancements in geospatial AI.

Learning Resources

→Python for Data Science Handbookguide
→Deep Learning with Python and PyTorchcourse
→Geospatial Data Science with Pythonarticle

Career Path

Senior Data Scientist (Geospatial AI)(Now)→Lead Data Scientist(1-2 years)→Data Science Manager(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.5%
AI Adoption in Geospatial
65%
Investment in Geospatial AI
+150%
Labour Demand for Data Scientists
+29%
Avg Salary for Senior Data Scientists
$130K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
TensorFlowGeospatial Data Visualization (e.g., Folium)Big Data Technologies (e.g., Apache Spark)
Declining
MATLABTraditional GIS Software (e.g., ArcGIS 10.x)

Domain Trends

Increased Integration of AI in Geospatial Analysis
By 2025, 70% of geospatial projects are expected to incorporate AI technologies, enhancing predictive capabilities and decision-making.
Cloud-Based Geospatial Solutions Growth
The shift to cloud services for geospatial data management is projected to grow by 35% annually, driven by cost efficiency and scalability.
Rise of Real-Time Geospatial Data Processing
Real-time data processing in geospatial applications is increasing, with a 40% rise in demand for technologies that support on-the-fly data analysis.

Industry News

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