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The Data Scientist role focuses on partnering with business stakeholders to identify opportunities where machine learning and analytics can support data-driven decision-making across a variety of customer-focused use cases. This role is central to data exploration, insight generation, agile model development, and translating results into clear, actionable recommendations for non-technical audiences.

Data Scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive, and creative, with a strong desire to solve real-world problems using data.

As a Data Scientist, You Will:

• Collaborate with business stakeholders to identify high-impact opportunities for analytics and machine learning use cases
• Translate business questions into analytical problems and develop models to support personalization, journey orchestration, loyalty, customer lifetime value, and customer segmentation
• Design and implement test-and-learn frameworks to measure the impact of data-driven initiatives
• Partner with Data Engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage
• Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, and neural networks
• Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling
• Contribute to the maintenance of models in production environments, ensuring scalability and performance
• Conduct peer code reviews and support best practices in model development and deployment
• Collaborate with both external and internal resources to support business requirements and key KPI measurement