Data Science Manager

Key Responsibilities

We are looking for an experienced Manager – Data Science to lead a dynamic team in developing advanced analytical models, delivering consumer insights, and driving business impact across Loyalty Programs, CRM, and Customer Engagement. The ideal candidate will combine deep expertise in data science with strong leadership and stakeholder management skills, while fostering innovation in areas like predictive modeling, LLMs, and data-driven decision-making.

Key Responsibilities

• Lead the design and implementation of advanced customer segmentation frameworks, predictive models, and recommendation systems to enhance loyalty programs and CRM strategies.

• Oversee exploratory data analysis (EDA) to uncover consumer behavior patterns and actionable insights. Be adept at modern data platforms such as Databricks, POWERBI and leverage Large Language Models (LLMs) for advanced analytics and automation.

• Collaborate with cross-functional teams including Product, Marketing, Engineering, and Client Success to deliver datadriven strategies that strengthen customer engagement.

• Mentor and manage a team of data scientists, providing guidance, training, and fostering a culture of continuous learning and innovation.

• Build strong relationships with internal and external stakeholders, acting as a trusted advisor for data-driven initiatives.

• Ensure project delivery within timelines while maintaining quality, scalability, and performance of data science solutions. Stay updated with emerging technologies, algorithms, and best practices in AI/ML, and proactively identify opportunities for innovation.

Required Qualifications

• Masterʼs or Bachelorʼs degree in Data Science, Statistics, Computer Science, Mathematics, or related fields.

• 5+ years of proven experience in Data Science, with at least 2+ years in a managerial/team lead role.

• Demonstrated expertise in Loyalty Programs, CRM systems, and Consumer Insights.

• Strong knowledge of customer analytics, predictive modeling, and segmentation techniques.

• Hands-on experience with Databricks, Python, SQL, and Machine Learning frameworks.

• Exposure to LLMs and Generative AI with practical use cases in customer engagement preferred.

• Excellent leadership, mentoring, and stakeholder management skills.

• Strong communication skills with the ability to simplify complex insights for business stakeholders.