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

• 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