We are seeking a Data Scientist to drive data-driven decision-making across CRM, telesales, and digital channels. The role focuses on analyzing customer behavior, optimizing retention strategies, and maximizing revenue through advanced analytics, segmentation, and predictive modeling. Key Responsibilities - Analyze customer data to identify trends in purchasing behavior, frequency, and adherence - Build predictive models for: Customer churn & retention Customer Lifetime Value (CLV) - Demand forecasting for chronic medications (e.g., diabetes, hypertension) - Develop advanced segmentation models (RFM, behavioral, health-condition-based) - Analyze performance of loyalty programs impact on sales - Build automated dashboards (Power BI) for: Revenue, AOV, retention, repeat rate Campaign ROI and channel performance - Ensure data accuracy, integrity, and proper integration across systems

Desired Candidate Profile

• Bachelor s degree in Data Science, Statistics, Computer Science, or related field
• 3+ years of experience in data science or advanced analytics ib retail sector
• Strong expertise in: SQL Python (Pandas, NumPy, Scikit-learn)
• Experience with Power BI or similar BI tools
• Solid understanding of statistics and machine learning models
• Experience in pharmacy, healthcare, or retail sectors
• Experience in CRM analytics, loyalty programs
• Experience working with large-scale transactional data
• Strong analytical and problem-solving mindset
• Business-oriented thinking (linking data to revenue impact)
• Ability to translate insights into actionable recommendations
• Communication skills (working with CRM, marketing, and operations teams)