Data Scientist

Responsibilities

• Partner with stakeholders to translate business goals into data science problem statements, success metrics, and experiment plans.
• Build, evaluate, and deploy machine learning and AI models using Python, ensuring performance, robustness, and scalability.
• Develop NLP solutions such as text classification, entity extraction, topic modeling, semantic search, and summarization based on use case needs.
• Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring.

Additional Responsibilities

• Experience building and optimizing NLP systems using modern approaches (e.g., embeddings, transformer-based models) and tailoring them to domain needs.
• Proven ability to design experiments, run A/B tests, and connect model improvements to measurable business outcomes.

Technical and Professional Requirements

• Primary skills: Technology->Data Science->Machine Learning, Technology->Machine learning->data science

Preferred Skills

• Data Science – Basic
• Machine Learning

Educational Requirements

Bachelor of Engineering,BCA,BSc