GM: Sr. Data Scientist, CRM

This senior-level Data Scientist role in Customer Relationship Management (CRM) requires advanced expertise in data science methodologies and analytics tailored to CRM applications. The candidate should possess a master's degree, indicating strong theoretical knowledge and analytical skills. With significant experience (75 points), the role demands proficiency in statistical modeling, machine learning, and predictive analytics to derive actionable insights from complex customer data. Expertise in handling large datasets, data preprocessing, feature engineering, and model validation is essential. The candidate should be skilled in programming languages commonly used in data science such as Python or R, and familiar with data manipulation libraries and frameworks like pandas, scikit-learn, TensorFlow, or PyTorch. Experience with CRM platforms and tools, as well as SQL for database querying, is important to integrate data-driven strategies into CRM systems effectively. Strong understanding of customer segmentation, churn prediction, lifetime value modeling, and personalization techniques is expected. The role likely involves collaborating with cross-functional teams, requiring excellent communication skills to translate data insights into business strategies. Knowledge of cloud platforms and big data technologies may be advantageous. Overall, the position demands a seasoned data scientist with deep CRM domain knowledge, advanced analytical capabilities, and the ability to lead data-driven initiatives that enhance customer engagement and retention.