Data Scientist

Esri Australia; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A leading GIS solutions provider is seeking a Data Scientist to support the development of scalable GeoAI models. The role involves integrating AI and GIS workflows, managing the GeoAI lifecycle, and collaborating with teams to deliver solutions. Candidates should have a degree in IT or related fields, along with experience in machine learning, Python programming, and knowledge of Big Data. This position is based in Jakarta, Indonesia.

Qualifications

• Minimum 2 years of professional experience as a Data Scientist or equivalent role.
• Strong analytical and problem-solving skills.
• Excellent communication skills to present technical insights.

Responsibilities

• Design and implement scalable GeoAI with emphasis on geospatial use cases.
• Manage the end-to-end GeoAI lifecycle.
• Integrate AI and GIS workflows within enterprise systems.

Skills

Machine Learning frameworks

Deep Learning frameworks

Python programming

Big Data

GIS concepts

Image Processing

Education

Bachelor’s degree in IT, Computer Sciences, Mathematics, or related fields

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

We deliver the best GIS solutions in the world, with the brightest minds on the map.

What are the issues that matter most to you? Climate change, national security, disaster response?

At Esri Indonesia you'll work with people at the forefront of these issues, connect them with the best tech and solutions and get an inside look into the real-world challenges that shape our future.

We turn problems into opportunities, and that takes two things:

• The most powerful GIS technology and solutions.
• Driven, talented, and passionately curious people.

Here we connect them, and that’s how we achieve incredible things for communities, economies, and for your career.

About the Role

As a Data Scientist in the Solution Engineering department, you will support and collaborate with Solution Engineers to design and develop GeoAI models, as well as train and experiment with various data types.

As data scientist you will be responsible for key tasks such as:

• Design and implement scalable GeoAI with a strong emphasis on geospatial use cases.
• Manage the end-to-end GeoAI lifecycle: data preparation, model development, model evaluation, inferencing, accuracy assessment, model deployment, and model management.
• Integrate AI and GIS workflows within enterprise systems to enhance mapping processes and generate actionable insights.
• Work with large-scale geospatial datasets (satellite, aerial imagery, drone imagery, LiDAR, IoT, sensor data, and spatial databases).
• Collaborate with Solution Engineering teams to design data-driven solutions that address business needs and industry challenges.
• Collaborate with Implementation teams to deliver GeoAI-enabled projects for customers and partners.
• Support solution deployment in enterprise environments, including cloud services, containers, and scalable infrastructure.
• Document methodologies, workflows, and technical processes in a clear and structured manner.
• Explore and evaluate Esri product capabilities and innovations, stay current with new features and best practices, and participate enablement programs to share knowledge with internal teams, customers, and partners.

About You

We are looking for an experienced Data Scientist with knowledge in GIS, particularly in Image Processing, along with a strong understanding of Big Data, IoT, Machine Learning, and Artificial Intelligence concepts to drive successful development of a scalable GeoAI solutions.

• Min. bachelor’s degree in IT, Computer Sciences, Mathematics, Statistics, or any related fields.
• Min 2 years of professional experience as Data Scientist, Machine Learning Engineer, or equivalent role.
• Strong experience with Machine Learning & Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficiency in Python for data science, AI model development, and automation.
• Familiarity with Big Data, IoT, and statistics as applied to geospatial AI.
• Knowledge of model deployment techniques (containers, APIs, cloud platforms like AWS/Azure/GCP).
• Familiarity with REST APIs and solution integration approaches.
• Strong analytical and problem-solving skills with the ability to structure complex challenges.
• Excellent communication skills to present technical insights to both technical and non-technical stakeholders.
• Ability to write clear, well-structured technical documentation.
• Understanding of GIS concepts and practical experience in geospatial analysis and image processing, is an advantage.

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