Data Scientist II utilizing cutting - edge machine learning and AI solutions at Early Warning Services. Collaborating with cross - functional teams to deliver business results and enhance financial services.
About the role
- Senior Manager in Data Science & Analytics leading analytics strategies at Circle K. Collaborating with teams to enhance customer experience and loyalty programs.
Responsibilities
- Lead the development and implementation of cutting-edge customer data, analytics, and AI strategies that enhance personalization, optimize loyalty program, and drive business growth.
- Collaborate with business stakeholders and digital product teams to define business requirements, KPIs, and acceptance criteria for customer loyalty and marketing analytics initiatives.
- Act as a data-driven thought partner to Loyalty and Marketing teams, providing analytical support and challenging priorities based on insights.
- Develop and own Customer Analytics Strategic Roadmap aligned with company goals, serving as the key decision maker for all Loyalty & Customer Data initiatives.
- Lead the design, development, and deployment of advanced analytics and AI/ML models to optimize customer segmentation, personalization, loyalty programs, and promotions.
- Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from loyalty programs.
- Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity.
Requirements
- Master's degree required (Ph.D. preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related analytical discipline.
- 8+ years of experience in data and analytics, including 3+ years in leadership roles driving large-scale projects, ideally within retail or customer/digital/loyalty domains.
- Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based platforms (e.g., Azure, Snowflake, Databricks).
- Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices.
- Proven track record of delivering measurable results from customer loyalty programs in large retail environments.
- Knowledge of personalization strategies execution through Customer Data Platform (CDP) is a competitive advantage.
- Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams, including Data Engineering, Machine Learning Engineering, Architecture, and Platform partners.
Benefits
- Complete benefits packages (health insurance, pension contribution etc.)
- Possibility of enrolling in stock purchase plan.
- Employee discount on fuel.
- Learning opportunities to develop new skills and to evolve professionally in a fast-growing company.
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