onsite
Data Scientist - EXL Service
Data Scientist
Data Scientist role focused on building, optimizing, and deploying AI/ML models to extract insights from large, unstructured datasets, while collaborating across teams and ensuring data governance.
About the role
Key Responsibilities
- Develop, test, and deploy machine‑learning and statistical algorithms that generate actionable business insights from complex, unstructured data sources.
- Design end‑to‑end data pipelines, including data extraction, cleaning, feature engineering, and model integration for production environments.
- Collaborate with cross‑functional teams—engineers, product managers, and domain experts—to embed data‑driven solutions into existing workflows.
- Maintain data governance standards, ensuring compliance with privacy, security, and quality requirements.
- Monitor model performance in production, perform root‑cause analysis, and iterate to improve accuracy and efficiency.
- Stay current with emerging AI/ML techniques and contribute thought leadership through research, documentation, and knowledge sharing.
Requirements
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, TensorFlow/PyTorch).
- Hands‑on experience building, evaluating, and scaling machine‑learning models and statistical methods.
- Solid understanding of SQL and relational databases for data extraction and manipulation.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools for deploying models at scale.
- Excellent problem‑solving skills, with the ability to translate business challenges into analytical solutions.
Skills
pythonmachine learningsql