Description

Drive digital strategy and optimize customer experience through data science and asset analytics.

This role is on-site.

Responsibilities

• Develop predictive models in Python, R, or SAS to optimize revenue and ad targeting.
• Extract and process large datasets using SQL and statistical languages for feature engineering.
• Create automated dashboards and reports using PowerBI for product and marketing teams.
• Define pricing models for digital value propositions to ensure portfolio profitability.
• Collaborate with risk, business, and digital stakeholders to implement and monitor models.

Required Skills

• 1-3 years of experience in data science or analytics.
• Proficiency in Python, R, or SAS for model development.
• Strong SQL skills for querying databases and data warehouses.
• Hands-on experience with Machine Learning and Artificial Intelligence concepts.
• Strong background in statistical analysis and data reprocessing.
• Ability to work with big data and perform segmentation.
• Experience with PowerBI for visualization and reporting.

Key Skills

Education

Not specified