Strategic Intelligence & Algorithmic Governance

XL Smart career; Jakarta Selatan; On-site; IDR 400,000,000 - 800,000,000; Full time

Job summary

XL Smart career in Jakarta seeks a Senior Data Scientist for Strategic Intelligence & Algorithmic Governance. You will own end-to-end ML models for churn, revenue growth, and ARPU, and lead causal inference, A/B testing, and governance across squads.

As the senior contributor, translate data science outputs into commercial decisions, manage model deployment standards, and mentor analysts. 7–10 years in DS/AI roles required; advanced certifications highly valued.

Qualifications

• 7–10 years hands-on experience in Data Science, Customer Analytics, or AI/ML roles.
• Certified certifications in ML are highly valued.

Responsibilities

• Design and own end-to-end ML models for churn, revenue growth, and LTV, from feature engineering to deployment.
• Lead causal inference and A/B testing frameworks with statistical rigour across squads.
• Build strategic intelligence models: market dynamics, pricing elasticity, and network effects on churn.
• Architect and deploy agentic AI systems with real-time scoring and self-learning pipelines.
• Own feature store and model registry ensuring quality, reproducibility and governance.
• Define deployment standards, drift monitoring, and retraining protocols across squads.
• Translate outputs into commercial briefs for senior stakeholders and act as scientific authority.
• Lead data discovery sprints and present findings to Group Heads.
• Drive migration workstreams (MLOps, data engineering, cloud infra) alongside delivery tasks.
• Mentor analysts in advanced data science methods like causal inference and graph ML.

Skills

Data Science

Customer Analytics

AI/ML

Causal Inference

Graph ML

Reinforcement Learning

LLM-assisted analytics

Production ML

Education

S1 in Computer Science / related

S2/Master's degree in quantitative field

Certified Data Scientist (CDS)

Google Professional Machine Learning Engineer

AWS Certified Machine Learning - Specialty

PMP or project governance credential

Job description

Strategic Intelligence & Algorithmic Governance

Job Purpose : Own the end-to-end science practice for customer retention, graduation, and revenue growth as the most senior individual contributor in Customer Science. This role combines deep technical execution - advanced ML modelling, causal inference, agentic AI deployment, and graph-based network intelligence - with strategic influence: translating data science output into commercial decisions, governing algorithmic quality across all squads, and setting the analytical gold standard for XL Smart's subscriber base and ARPU improvement initiatives.

Main Responsibilities

1. Design and own end-to-end ML models for churn prediction, revenue graduation, and lifetime value from featureengineering through production deployment and ongoingmonitoring.
2. Lead causal inference and A/B experimentation frameworks;establish and enforce statistical rigour across all squadexperiments and commercial interventions.
3. Build and maintain advanced strategic intelligence models:market dynamics, competitive signal detection, pricing elasticity,and network quality impact on churn.
4. Architect and deploy agentic AI systems autonomousreal-time ML scoring, bandit-based optimisation, andself-learning decisioning pipelines.
5. Own the feature store and model registry: ensure quality,reproducibility, versioning, and governance of all CustomerScience outputs.
6. Define and enforce model deployment standards, driftmonitoring, and retraining protocols across all squads.
7. Translate model outputs into commercial briefs for seniorstakeholders (Strategy, Analytics, Segment); serve as thescientific authority on all outbound Customer Science findings.
8. Lead monthly data discovery sprints to identify and resolveupstream data gaps; present findings at weekly Group Headreviews.
9. Drive the 30% platform migration workstream (MLOps, data engineering, cloud ML infrastructure) alongside 70% commercial task-force deliverables reviewed biweekly.
10. Mentor squad analysts in advanced data science methods:causal inference, graph ML, reinforcement learning, andLLM-assisted analytics.

Requirements

• S1 (Strata 1) in Computer Science, Statistics, Data Science, Mathematics, or Engineering.S2/Master's degree in a quantitative field preferred.
• Minimum 7-10 years of hands-on experience in Data Science, Customer Analytics, or AI/ML roles;including at least 3 years as a principal scientist or lead practitioner owning production ML systems.
• Certified Data Scientist (CDS), Google Professional Machine Learning Engineer, AWS CertifiedMachine Learning - Specialty, or equivalent advanced ML certification. PMP or equivalent projectgovernance credential is a plus.