Data Scientist

EDOTCO Group; Selangor; On-site; MYR 200,000 - 250,000; Full time

Job summary

A telecommunications company in Selangor is seeking a Data Scientist to analyze and optimize network plans with a focus on geospatial data. This role involves developing machine learning models, conducting geospatial analyses, and collaborating with various teams to translate insights into business solutions. The ideal candidate will hold at least a Bachelor's degree and may be a fresh graduate or possess up to 2 years of experience, adept in Python and geospatial analytics.

Qualifications

• Fresh graduate with no experience or with 2 years' experience in data science, preferably with exposure to geospatial data.
• Familiarity with generative AI models and their applications in data analysis.
• Strong analytical skills with the ability to communicate technical insights to non-technical audiences.

Responsibilities

• Assist in developing machine learning models to support network planning.
• Conduct geospatial analyses using tools like GeoPandas and QGIS.
• Present data findings to non-technical stakeholders.

Skills

Proficiency in Python

Knowledge of machine learning algorithms

Problem-solving skills

Understanding of telecommunications industry

Education

Bachelor’s degree in Data Science or related field

Tools

GeoPandas

AWS

SQL

Job description

Job Purpose

The Data Scientist will contribute to the analysis and optimization of network and planning strategies within the EDOTCO Group, focusing on geospatial data. This role involves applying advanced analytics and machine learning techniques to develop insights, support predictive modelling, and improve decision-making. The Data Scientist will work closely with team members to deliver valuable, data-driven solutions that enhance network efficiency and contribute to business objectives.

Key Accountabilities

Data Analysis & Modelling

• Assist in developing machine learning models to support network planning and performance analysis, with an emphasis on geospatial data.
• Conduct geospatial analyses using tools like GeoPandas and QGIS to understand location-based trends and make recommendations.

Collaboration & Communication

• Work with engineering, operations, and strategy teams to translate technical insights into actionable business solutions.
• Collaborate with vendors and external partners to integrate geospatial tools and ensure alignment with data infrastructure needs.

Machine Learning & Data Processing

• Contribute to the implementation of machine learning models to identify network gaps and optimize resource allocation.
• Support ETL processes for large geospatial datasets, maintaining data quality and processing efficiency.
• Utilize AWS Bedrock to access and integrate foundation models for generative AI applications, enhancing the scalability and security of AI solutions.

Reporting & Insights

• Present data findings to non-technical stakeholders, explaining insights in an accessible and actionable format.
• Provide performance metrics to monitor the impact of analytics on network and business goals.

Continuous Learning

• Stay informed on advancements in machine learning, AI, and geospatial tools, and contribute new ideas for business applications.
• Participate in the ongoing evaluation and optimization of models to ensure accuracy and relevance.

Qualification, Skills & Experience

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, or a related field.
• Fresh graduate with no experience or with 2 years' experience in data science, preferably with exposure to geospatial data and network analytics.
• Proficiency in Python & PySpark, including familiarity with geospatial libraries like GeoPandas and machine learning libraries.
• Basic experience with SQL and cloud environments (e.g., AWS, GCP) is a plus.
• Understanding of geospatial analytics and its role in network planning.
• Knowledge of machine learning algorithms and techniques for spatial data analysis.
• Familiarity with generative AI models and their applications in data analysis.
• Strong problem-solving skills and the ability to communicate technical insights to non-technical audiences.
• Analytical Thinking: Ability to break down complex data and find patterns to guide decision-making.
• Business Awareness: Understanding of the telecommunications industry and ability to apply analytics to improve network planning.
• Team Collaboration: Ability to work effectively with team members and stakeholders to achieve shared goals.
• Adaptability: Willingness to learn and apply new tools, methods, and approaches as needed.
• Shows commitment to high-quality standards, continuous improvement, and ethical practices.
• Known for strong analytical skills and geospatial data insights, offering valuable contributions to network and planning analytics.