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Senior Executive Officer, Data Scientist - Job Opportunity at Singapore Pools

Singapore, Singapore
Full-time
Senior
Posted: February 28, 2025
On-site
SGD 90,000 - 140,000 annually based on Singapore's data science market and role seniority

Benefits

Competitive base salary with industry-aligned compensation structure
Flexible benefits package allowing personalized selection
Work-life balance through staggered hours policy
Comprehensive medical insurance coverage
Subsidized corporate mobile plans
Progressive workplace culture emphasizing diversity and inclusion

Key Responsibilities

Design and maintain enterprise-level data infrastructure and ETL pipelines
Lead feature engineering initiatives and machine learning feature store development
Spearhead customer experience enhancement through AI-driven recommendation systems
Manage data governance and catalog maintenance across organization
Drive technical partnership with Business Technology team for data lake ecosystem development
Optimize and enhance existing machine learning models for improved performance
Conduct ongoing data exploration and documentation for knowledge management
Lead stakeholder engagement for business improvement initiatives
Execute AML and compliance analytics solutions
Develop and maintain geographical retail network optimization models
Deliver strategic insights through data visualization and reporting

Requirements

Education

Bachelor's degree in Data Science, Analytics, Engineering, Computer Science, Statistics, Economics, Mathematics, or equivalent

Experience

Minimum 3 years of relevant working experience

Required Skills

SQL, HiveQL and Snowflake expertise Data pipeline automation Large-scale data processing Machine learning model development Stakeholder communication Azure ML (advantage) Alation data catalog (advantage) Recommendation engines (advantage)
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Sauge AI Market Intelligence

Industry Trends

The gaming industry is experiencing rapid digital transformation, with increased focus on responsible gaming and compliance analytics Data-driven personalization and customer experience optimization are becoming critical differentiators in regulated gaming markets Integration of AI/ML capabilities with traditional analytics is creating new opportunities for innovation in gaming operations

Role Significance

Typically part of a specialized analytics team of 5-10 professionals, working within a larger technology organization
Senior individual contributor role with significant technical autonomy and strategic influence on business decisions

Key Projects

Enterprise data lake development and optimization Customer experience personalization systems Compliance and anti-money laundering analytics Retail network optimization modeling Automated reporting and dashboard development

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex technical concepts for non-technical stakeholders Experience with large-scale data processing and ETL pipeline development Understanding of gaming industry regulations and compliance requirements Proactive approach to stakeholder management and project delivery

Market Demand

High demand position reflecting the growing importance of data science in regulated gaming and growing competition for technical talent in Singapore's financial and gaming sectors

Important Skills

Critical Skills

Data pipeline development and optimization expertise for maintaining robust analytics infrastructure Machine learning model development skills for personalization and prediction systems Stakeholder management capabilities for effective project delivery SQL and data warehouse expertise for large-scale data processing

Beneficial Skills

Cloud platform experience (particularly Azure) Knowledge of gaming industry regulations Experience with recommendation systems Data governance and catalog management expertise

Unique Aspects

Rare opportunity to apply data science in a regulated gaming environment
Direct impact on social responsibility through business operations
Balance of commercial and social objectives in decision-making
Strong focus on responsible gaming and compliance analytics

Career Growth

2-3 years in role before advancement, depending on project success and organizational growth

Potential Next Roles

Lead Data Scientist Analytics Manager Head of Data Science Technical Product Manager

Company Overview

Singapore Pools

Singapore Pools is a state-established gaming operator with a strong focus on responsible gambling and social contribution

Leading position in Singapore's regulated gaming market with significant government backing
Primary focus on Singapore market with strong local presence
Professional environment balancing commercial objectives with social responsibility, emphasizing work-life balance and diversity
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