About the role
The Data Scientist role focuses on building predictive and machine learning solutions to solve business problems and drive data-driven decision-making. The position involves working across data extraction, feature engineering, model development, deployment, and evaluation, with a strong emphasis on Python-based analytics and AI integration.
Responsibilities:
- Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
- Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces.
- Analyze structured and unstructured data to identify trends, patterns, and actionable business insights.
- Perform data preprocessing, feature engineering, model development, deployment, and model evaluation.
- Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability.
- Develop APIs and services for model deployment and integration with enterprise systems.
- Ensure data quality, governance, security, and compliance throughout the analytics lifecycle.
- Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate.