Decisioning Analytics Specialist

CelcomDigi; Petaling Jaya; On-site; MYR 120,000 - 180,000; Full time

Job summary

CelcomDigi is seeking a Data Scientist to deliver analytics and machine learning solutions at scale for a leading telecom operator. You will tackle real-world problems, influence business decisions, and own the end-to-end analytics lifecycle.

You will work with stakeholders across data science, engineering, and analytics teams, applying feature engineering, experiments, and reusable assets to improve performance and drive value for the organization.

Qualifications

• End-to-end analytics and ML project delivery experience.
• Bachelor's degree in a relevant field.
• Strong communication and stakeholder influence.

Responsibilities

• Lead development and delivery of advanced analytics and ML models.
• Partner with business stakeholders with minimal supervision.
• Collaborate with peers across data science, engineering, and analytics teams.
• Enhance models via feature engineering, new data sources, and experimentation.
• Contribute to setting best practices, standards, and reusable assets.
• Translate ambiguous business problems into analytical approaches and modelling techniques.

Skills

Python

SQL

R

Spark

Communication skills

Education

Bachelor's degree in Data Science, Actuarial Science, Mathematics, Statistics, Computer Science, or related fields

Tools

Spark

Job description

Job Description

As a Data Scientist, you will play a key role in delivering high-impact analytics and machine learning solutions at scale for a leading telecom operator. You'll work on complex, real-world problems, influence business decisions, and help shape how advanced analytics is embedded across the organisation. This role offers hands-on ownership, exposure to senior stakeholders, and the opportunity to grow into broader technical or leadership responsibilities.

Responsibilities

• Lead the development and delivery of advanced analytics and machine learning models to address key business opportunities and gaps.
• Partner with business stakeholders with minimal supervision, clearly communicating insights, assumptions, and model outcomes.
• Collaborate with peers across data science, engineering, and analytics teams on cross-functional problem solving.
• Continuously enhance models through feature engineering, new data sources, and experimentation to improve business performance.
• Contribute to setting best practices, standards, and re-usable assets across the data science team.
• Translate ambiguous business problems into well-structured analytical approaches and recommend appropriate modelling techniques.

Requirements

• Bachelor's degree in Data Science, Actuarial Science, Mathematics, Statistics, Computer Science, or related fields.
• Strong, demonstrable experience delivering analytics and machine learning projects end-to-end.
• Experience in the telecommunications industry is an advantage but not mandatory.
• Hands-on experience with Python, SQL, R (or equivalent) and big data / distributed processing tools (e.g. Spark).
• Working knowledge of machine learning algorithms and classifiers.
• Strong communication, presentation, and analytical skills, with the ability to influence non-technical stakeholders.

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CelcomDigi is an equal opportunity employer, and committed to promote employment practices that are transparent, objective and fair.