Data Scientist

Responsibilities

• Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.
• Communicate findings through visualizations and clear storytelling.
• Develop and deploy machine learning models for forecasting, optimization, and risk analysis.
• Apply statistical and machine learning techniques to solve complex business problems.
• Prepare data through extraction, cleaning, preprocessing, and feature engineering to ensure data quality and integrity for reliable model performance.
• Deploy models into production and monitor performance for drift or degradation, continuously improving models based on feedback and new data.
• Work with business teams to translate requirements into analytical solutions.
• Collaborate with Data Engineering and Data Governance teams for end‑to‑end delivery.
• Ensure all AI and machine learning activities comply with governa...