Data Scientist

Key Responsibilities: 1. Data Analysis and Insights: ? Analyze structured and unstructured data to uncover trends and patterns in debt collection and AR management. ? Develop visualizations and dashboards to present key insights to stakeholders. 2. Model Development: ? Build and optimize predictive models for debt repayment likelihood, customer segmentation, and credit risk assessment. ? Experiment with machine learning algorithms to enhance operational efficiency. 3. Data Processing: ? Design and implement data pipelines to gather, clean, and transform data from multiple sources. ? Ensure data quality and integrity for reliable analysis. 4. Collaboration: ? Work closely with product managers to translate business needs into technical solutions. ? Partner with engineers to integrate models into production systems. 5. Innovation: ? Explore and implement advanced techniques like natural language processing (NLP) and deep learning for new solutions. ? Stay updated with industry trends and best practices to drive innovation. Who We're Looking For: ? Educational Background: Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or a related field.* ? Experience: 2-5 years of experience in data science, analytics, or a related domain.* ? Technical Skills: ? Proficiency in programming languages like Python or R. ? Hands-on experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). ? Strong SQL skills for data querying. ? Familiarity with big data tools (e.g., Spark, Hadoop) is a plus. ? Analytical Mindset: Strong problem-solving skills and attention to detail.* ? Communication: Ability to convey complex data-driven insights to non-technical stakeholders.