Senior Data Scientist - Card Analytics & Growth

Neostats Analytics Solutions; Doha; On-site; QAR 200,000 - 400,000; Full time

Job summary

Neostats Analytics Solutions is seeking a senior data scientist to drive predictive modelling and advanced analytics for credit card portfolios in a banking context. You will build segmentation, campaign analytics, and portfolio insights, translate findings into business actions, and collaborate with marketing, product, risk and technology teams.

5+ years in data science or analytics with Python, SAS and SQL, plus experience in campaign analytics, model validation and data visualization tools

Qualifications

• Minimum 5+ years of experience in Data Science or Advanced Analytics in banking.
• Hands-on expertise in Python, SAS and SQL.
• Experience with predictive modelling and machine learning techniques.
• Experience with large banking datasets including card transactions and campaigns.
• Ability to translate business requirements into analytical use cases.

Responsibilities

• Develop predictive models to identify customer targeting opportunities and reduce churn.
• Develop customer segmentation strategies for card portfolios.
• Analyze marketing campaign performance and develop targeting strategies.
• Develop analytical dashboards and management presentations.
• Translate business objectives into analytical use cases and data science solutions.
• Collaborate with marketing, product, risk, and tech teams to implement analytics solutions.

Skills

Python

SAS

SQL

Predictive modelling

Statistical analysis

Machine learning

Tableau

Power BI

Stakeholder management

Card analytics

Tools

Tableau

Power BI

Job description

Neostats Analytics Solutions is seeking a senior data scientist to drive predictive modelling and advanced analytics for credit card portfolios in a banking context. You will build segmentation, campaign analytics, and portfolio insights, translate findings into business actions, and collaborate with marketing, product, risk and technology teams.

5+ years in data science or analytics with Python, SAS and SQL, plus experience in campaign analytics, model validation and data visualization tools