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Senior Geospatial Scientist

2 weeks ago

Riyadh, Ar Riyāḑ, Saudi Arabia Different Technologies Pty Ltd. Full time

Job Description

We are seeking a highly skilled Senior Geo Data Scientist to join our team and contribute to the development of advanced spatial data analytics capabilities, leveraging cutting-edge geospatial technologies to drive business growth and success.

The ideal candidate will have a strong background in spatial data analytics and modeling, with experience in designing and implementing algorithms and models for spatial data analysis, feature extraction, and predictive modeling.

In this role, you will collaborate closely with cross-functional teams to translate business requirements into technical solutions, fostering effective communication and collaboration.

You will also be responsible for developing and optimizing data pipelines for efficient data extraction, transformation, and loading (ETL) processes, ensuring seamless integration with existing systems.

Additionally, you will provide technical leadership and mentorship to junior team members, promoting knowledge sharing and skills development, and stay updated with industry trends and advancements in geospatial technologies and data science methodologies, applying this expertise to drive innovation and improvement.

The successful candidate will present findings and recommendations to stakeholders and executive leadership in a clear and actionable manner, ensuring that complex technical concepts are effectively communicated.

Required Skills and Qualifications

  1. An advanced degree (Masters or Ph.D.) in Geoinformatics, Computer Science, Statistics, or a related field, demonstrating expertise in spatial data analytics and modeling.
  2. Proven experience (3+ years) as a Data Scientist or Geo Data Scientist, with a strong focus on geospatial analytics and data modeling, driving business outcomes through data-driven insights.
  3. Proficiency in programming languages such as Python, R, or Java, with experience in geospatial libraries (e.g., GDAL, GeoPandas, PostGIS), ensuring seamless integration with existing systems.
  4. A deep understanding of machine learning techniques, statistical analysis, and data visualization methods as applied to geospatial data, driving insights that inform critical business decisions.
  5. Experience with GIS tools and platforms (e.g., ArcGIS, QGIS, etc.) and familiarity with spatial databases, ensuring optimal results in a fast-paced environment.
  6. Strong analytical and problem-solving skills, with the ability to work independently and as part of a team in a fast-paced environment, delivering high-quality results under pressure.
  7. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders, ensuring effective communication and collaboration.