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Data Scientist - Job Opportunity at StarHub

Singapore, SG
Full-time
Mid-level
Posted: April 18, 2025
On-site
SGD 80,000 - 120,000 annually based on Singapore market rates for mid-level data scientists in telecommunications

Benefits

Telecommunications industry exposure providing valuable sector experience
Professional development opportunities through workshops and conferences
Cross-functional collaboration experience
Enterprise-level data science infrastructure access

Key Responsibilities

Lead development of predictive models for customer behavior analysis and churn prevention with direct impact on revenue retention
Drive customer segmentation strategies using advanced analytics to enhance targeting precision
Design and implement machine learning pipelines supporting enterprise-wide decision making
Collaborate with business stakeholders to translate analytical insights into actionable business strategies
Develop and maintain advanced analytics dashboards for executive decision support

Requirements

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Master's preferred

Experience

2-3 years of experience in data science, machine learning, or related field

Required Skills

Strong foundation in statistical analysis and machine learning algorithms Proficiency in Python or R SQL expertise Experience with Tableau, PowerBI, or Matplotlib Knowledge of customer lifecycle management concepts Experience with scikit-learn, TensorFlow, or PyTorch Familiarity with Hadoop or Spark Git version control
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Sauge AI Market Intelligence

Industry Trends

Telecommunications sector is experiencing rapid digital transformation, driving increased demand for customer behavior analytics and predictive modeling capabilities Rising focus on customer retention through data-driven personalization in telecom industry Growing integration of AI/ML in customer lifecycle management creating specialized roles Increasing emphasis on real-time analytics and automated decision systems in telecom operations

Role Significance

Likely part of a 5-8 person analytics team within larger CLM department
Mid-level position with significant impact on customer retention and revenue strategies

Key Projects

Customer churn prediction and prevention systems Lifetime value optimization models Customer segmentation and targeting frameworks Automated marketing response modeling Real-time customer journey analytics

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex analyses into actionable business insights Effective stakeholder management and communication skills Deep understanding of customer lifecycle concepts in telecommunications

Market Demand

High demand position with strong growth trajectory due to telecommunications industry digital transformation and increasing focus on customer analytics

Important Skills

Critical Skills

Machine learning expertise for predictive modeling Statistical analysis for customer behavior understanding Data visualization for stakeholder communication SQL and Python/R for large-scale data processing

Beneficial Skills

Cloud computing platforms Real-time analytics systems Customer journey mapping Telecommunications industry knowledge

Unique Aspects

Direct impact on customer retention strategies in competitive telecom market
Access to rich customer behavior data sets
Integration of advanced analytics with traditional telecom operations

Career Growth

2-3 years in role before advancement opportunity, depending on project impact and leadership development

Potential Next Roles

Senior Data Scientist Lead Data Scientist Customer Analytics Manager Head of Customer Intelligence

Company Overview

StarHub

StarHub is a leading telecommunications company in Singapore offering integrated services including mobile, pay TV, broadband, and enterprise solutions

Major player in Singapore's telecommunications market with significant data analytics capabilities
Strong local presence with potential for regional impact in Southeast Asian markets
Technology-driven environment with emphasis on innovation and customer-centricity
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