DBS

Senior Associate, Data Scientist Campaign Management

Jakarta Selatan

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employee Status: Full time
Employment type in the employer’s posting: Full time
From the employer’s posting

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What you’ll work on

Full posting

Build and maintain propensity, churn, next-best-offer, CLV and uplift models
Develop customer segmentation frameworks from behavior, demographics and transactions
Manage end-to-end campaign execution across products, channels and segments
Translate business requirements into campaign logic, target criteria and plans
Identify optimal campaign channels to maximize revenue and engagement

From the employer’s posting

Build and maintain predictive models such as

Develop customer segmentation frameworks based on behavior, demographics, transaction patterns, and product holdings.

Manage end-to-end campaign execution across multiple products, channels, and customer segments.

Translate business requirements into campaign logic, target criteria, and execution plans.

Identify optimal Campaign channels to maximize revenue and Customer Engagement

What you’ll bring

All qualifications

Core experience

Bachelor's degree in Mathematics, Statistics or Data Science
Python and SQL programming
Predictive modeling, classification, regression and forecasting
Power BI or Tableau visualization
Good communication and stakeholder management skills

Qualification wording

Bachelor Degrees in : Mathematics, Statistics, Data Science

Programming : Python SQL

Predictive modeling Customer segmentation Classification and regression models Forecasting models

Visualization Tools Power BI Tableau

Good communication and stakeholder management skills.

Tools in this posting

Python
SQL
Power BI
Tableau

Source

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

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.

Posting record

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Status in our records: Live
First seen by us: Oct 7, 2026 · 23 days ago
Recorded sightings: 76
Last seen by us: Oct 30, 2026
Employer says posted: Sep 21, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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

Source details

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Source notes

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Pay

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Location & working pattern

Jakarta Selatan

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at dbs.wd3.myworkdayjobs.com ↗Read the full description ↓

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