Data Scientist

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)