Senior Associate, Data Scientist Campaign Management

PT Bank DBS Indonesia; Jakarta Selatan; On-site; IDR 240,000,000 - 360,000,000; Full time

Job summary

PT Bank DBS Indonesia is seeking a Senior Associate, Data Scientist Campaign Management to leverage data, analytics, and predictive modeling to improve campaign effectiveness, customer engagement, and business outcomes. You will help identify target customers and generate actionable insights to optimize marketing performance.

The role covers end-to-end campaign planning, predictive modeling (propensity to buy/churn, CLV, NBO), customer segmentation, and evaluation of model performance.

Qualifications

• Bachelor degree in Mathematics, Statistics or Data Science.
• Strong Python and SQL skills.
• Experience with analytics and ML workflows.
• Excellent communication and stakeholder management.

Responsibilities

• Develop customer segmentation frameworks based on behavior, demographics, transaction patterns, and product holdings.
• Identify optimal Campaign channels to maximize revenue and Customer Engagement
• Analyze customer journeys and identify opportunities for Acquisition, Cross-Sell, Up-sell, Retention, and Reactivation Campaigns.
• Generate actionable insights to support business and marketing strategies.
• Manage end-to-end campaign execution across multiple products, channels, and customer segments.
• Translate business requirements into campaign logic, target criteria, and execution plans.
• Prepare campaign schedules and coordinate deployment timelines.
• Ensure campaign activities are executed accurately and within SLAs.
• Build and maintain predictive models such as Propensity-to-Buy, Propensity-to-Churn, NBO, CLV, and uplift models.
• Continuously monitor model performance and recommend enhancements.

Skills

Data Science

Predictive Modeling

Customer Segmentation

Statistical Analysis

Communication

Stakeholder Management

Project Management

Education

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Bachelor's degree in Data Science

Tools

Python

SQL

Power BI

Tableau

Job description

Senior Associate, Data Scientist Campaign Management

Position Summary

Data Scientist - Campaign Management

Responsible for leveraging data, analytics, and predictive modeling to improve Campaign effectiveness, Customer engagement, and Business Outcomes. The role supports campaign strategy development by Identifying Target customers, Generating Actionable Insights, and Optimizing Marketing Performance.

Key Responsibilities

• Develop customer segmentation frameworks based on behavior, demographics, transaction patterns, and product holdings.
• Identify optimal Campaign channels to maximize revenue and Customer Engagement
• Analyze customer journeys and identify opportunities for Acquisition, Cross-Sell, Up-sell, Retention, and Reactivation Campaigns.
• Generate actionable insights to support business and marketing strategies.

Campaign Planning & Execution

• Manage end-to-end campaign execution across multiple products, channels, and customer segments.
• Translate business requirements into campaign logic, target criteria, and execution plans.
• Prepare campaign schedules and coordinate campaign deployment timelines.
• Ensure campaign activities are executed accurately and within agreed SLAs.

Predictive Modeling

• Build and maintain predictive models such as:
• Propensity-to-Buy
• Propensity-to-Churn
• Next Best Offer (NBO)
• Customer Lifetime Value (CLV)
• Response/Uplift Models
• Continuously monitor model performance and recommend enhancements.

Education Preference

Bachelor Degrees in : Mathematics, Statistics, Data Science

Programming

Python

SQL

Analytics & Machine Learning

Predictive modeling
Customer segmentation
Classification and regression models
Forecasting models
Recommendation engines
Model performance evaluation

Visualization Tools

Power BI

Tableau

Soft Skills

• Good communication and stakeholder management skills.
• Ability to manage multiple projects and deadlines.

Location

Capital Place Branch

Job

Analytics

Schedule

Regular

Employee Status

Full time