Job Summary
We are seeking a skilledData Scientistto join our Telco Financial Ecosystem team in Jakarta. In this role, you will leverage advanced statistical analysis and predictive modelling to uncover actionable insights, drive product optimization, and inform business strategy. You will be responsible for building models from diverse data sources and collaborating with key business stakeholders to translate data into tangible business outcomes.
What You'll Do
- Conduct Advanced Analysis: Performdescriptive and diagnostic statistical analysisto uncover trends, measure business performance, and generate actionable insights. This includes hypothesis testing and deep-dive analysis to understand customer behaviour and product performance.
- Design and Build Predictive Models:Design, build, and implement probabilistic and machine learning models(e.g., propensity and affinity models) to optimize product strategies and drive business outcomes across our financial and telco services.
- Prepare Data for Modelling: Systematicallygather, clean, and integrate datafrom various sources, including our internal systems and partner platforms. You will focus onfeature engineeringand data transformation to ensure datasets are ready for analysis and model development.
- Work with data engineering teams to implement scalable data pipelines and ensure data accessibility for analysis and model building.
- Translate Insights into Strategy: Collaborate closely with business leaders and product teams totranslate complex findingsinto clear, actionable recommendations. Present key insights to stakeholders to influence data-informed decisions and shape business strategy.
- Model Productionization: Deploy models into a production environment. This includes optimizing models / pipeline for processing speed and cost efficiency to handle massive datasets effectively.
- Model Monitoring and Management: Monitor the performance of deployed models and retrain or update them as needed to ensure accuracy and relevance.
What We're Looking For
- 7+ years of experiencein data science, analytics, and statistical modelling.
- Strong experience withGCP,Google Vertex AI, andPythonfor building and implementing data science models.
- Relevant experience in thefinancial services industry(lending is preferred).
- Proven experience with marketing use cases, such as customer segmentation, propensity modeling, and customer lifetime value analysis.
- Proven, hands-on experience in designing, building, and deploying data science models in a corporate or tech environment.
- Familiarity with MLOps practices and deploying models in production environments
Leadership Competencies
- Work Standards
- Continuous Improvement
- Planning and Organizing
- Coaching
- Building Positive Working Relationships
- Market Awareness
- Decision Making
- Continuous Learning
- Customer Excellence
Technical Competencies
- Channel, Partner and Account Management
- Product Strategy and Road-mapping
- Product Development and Lifecycle Management
- Market and Competitive Intelligence
- Portfolio and Project Management
- Data Analytics and Revenue Insights
- Governance, Risk and Stakeholder Communications
- Pricing, Commercial and Deal Structuring
- Sales Operations and Enablement
Behavioral Expectations
Personality Traits
Internal Stakeholders
External Stakeholders 
