Senior Associate, Data Scientist Campaign Management
Jakarta Selatan
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employee Status: Full time
Read the full posting
What you’ll work on
Full postingDevelop 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.
Analyze customer journeys and identify opportunities for Acquisition, Cross-Sell, Up-sell, Retention, and Reactivation Campaigns.
From the employer’s posting
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
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.
Tools in this posting
- SQL
- Python
- Power BI
- Tableau
Source — Tool mentions in context
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.
Job 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 BranchJob:
AnalyticsSchedule:
RegularEmployee Status:
Full timeYour next step
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Jakarta Selatan
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 5
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Sep 21, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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