Data Scientist

Responsibilities: • Collect, clean, and preprocess large datasets from diverse sources. • Apply advanced statistical analysis and machine learning techniques to address business challenges. • Design and build predictive models and algorithms to optimize processes and improve outcomes. • Develop dashboards and visualizations to effectively communicate insights to stakeholders. • Collaborate with cross-functional teams (Product, Engineering, Risk, Marketing) to identify and leverage data-driven opportunities. • Ensure data integrity, security, and compliance with organizational standards. • Stay up to date with emerging technologies and best practices in data science and AI. Required Qualifications: • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. • Strong proficiency in Python, R, and SQL, with experience using data manipulation libraries (e.g., Pandas, NumPy). • Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Solid understanding of statistical modeling, hypothesis testing, and data visualization. • Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP). • Excellent problem-solving skills and ability to communicate complex concepts clearly. Preferred Qualifications: • Background in risk modeling, financial services, or product analytics. • Knowledge of MLOps and deploying models in production environments. • Familiarity with data governance and compliance frameworks.