Roles & Responsibilities :

- Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
- Robust proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and related frameworks.-
- Extract and integrate data from multiple sources through APIs, databases, and filebased 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, finetune, 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

Good to have :

- Experience with Generative AI technologies, Large Language Models (LLMs)
- Experience working with SQL and NoSQL databases, data warehouses, and big data technologies.
- Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes.

📌 Data Scientist (India)
🏢 Career Click
📍 India