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DBS Bank

Senior Associate, Data Scientist Campaign Management

DBS Bank Special capital Region of Jakarta, Java, Indonesia

Banking · 10,001+ employees

Sep 21
data-scientist Mid (2-5 yrs) Full-time Indonesia
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About the role

The role involves leveraging data and predictive modeling to optimize marketing campaigns, customer engagement, and business outcomes. Responsibilities include developing customer segmentation frameworks, managing end-to-end campaign execution, and building predictive models like propensity-to-buy and churn analysis.

What they look for

Python SQL Predictive modeling Customer segmentation Classification models Regression models Forecasting models Recommendation engines Model performance evaluation Power BI Tableau Data analytics Campaign management Stakeholder management Communication skills

Requirements

Candidates should possess a bachelor's degree in Mathematics, Statistics, or Data Science along with proficiency in Python and SQL. Strong analytical skills, experience with machine learning models, and the ability to manage multiple projects are essential for this position.

Full description

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

Customer Analytics & Segmentation

1. Develop customer segmentation frameworks based on behavior, demographics, transaction patterns, and product holdings. 2. Identify optimal Campaign channels to maximize revenue and Customer Engagement 3. Analyze customer journeys and identify opportunities for Acquisition, Cross-Sell, Up-sell, Retention, and Reactivation Campaigns. 4. Generate actionable insights to support business and marketing strategies.

Campaign Planning & Execution

1. Manage end-to-end campaign execution across multiple products, channels, and customer segments. 2. Translate business requirements into campaign logic, target criteria, and execution plans. 3. Prepare campaign schedules and coordinate campaign deployment timelines. 4. Ensure campaign activities are executed accurately and within agreed SLAs.

Predictive Modeling 1. Build and maintain predictive models such as: Propensity-to-Buy Propensity-to-Churn Next Best Offer (NBO) Customer Lifetime Value (CLV) Response/Uplift Models 2. 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 1. Good communication and stakeholder management skills. 2. Ability to manage multiple projects and deadlines.

Location:

Capital Place Branch

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time

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