Senior Data Scientist (Ref:4)

Lead the design, development, and deployment of advanced machine learning and statistical models to solve complex business problems. Analyze large-scale structured and unstructured datasets to identify trends, patterns, and actionable insights. Collaborate with cross-functional teams including product managers, engineers, and business stakeholders to define data-driven strategies. Develop predictive and prescriptive models for customer behavior, operations optimization, and risk assessment. Perform feature engineering, model tuning, and validation to ensure optimal performance and accuracy. Implement data pipelines and automation processes using Python, SQL, and distributed data systems. Design and manage experiments (A/B testing) to evaluate new product features and business hypotheses. Translate analytical results into clear, concise visualizations and presentations for executive decision-making. Mentor junior data scientists and analysts, providing technical guidance and best practices in data science and analytics. Stay up to date with emerging technologies, algorithms, and industry trends to continuously enhance analytical capabilities.

Tools used: PL/SQL, Vector Search tool, Excel VBA, Python.