Data Scientist

Overview

Data Scientist for Peer Content Analytics, designing and deploying machine learning, NLP, and AI solutions that turn large volumes of content data into actionable insights.

What you'll do

• Develop, deploy, and maintain scalable machine learning, NLP, and generative AI models.
• Build reusable pipelines for sentiment analysis, topic modeling, LLM-based summarization, and clustering.
• Design scoring systems, ranking algorithms, and statistical models for peer-driven content.
• Establish experimentation frameworks with success metrics and statistically sound findings.
• Create PowerBI dashboards and self-service reports for accessible reporting.
• Collaborate with stakeholders to translate model outputs into actionable narratives.

What you'll need

• 2-4 years of hands-on experience in data science or applied ML in a business environment.
• Advanced proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL.
• Deep experience in NLP including topic modeling, sentiment analysis text classification, and semantic similarity.
• Hands-on experience with LLMs and generative AI frameworks, including cloud deployment on Azure or AWS.
• Experience with MLOps best practices, including experiment tracking (MLflow, Weights & Biases) and production monitoring.
• Advanced PowerBI skills for data visualization and interactive reporting.

Details

• Location: Gurgaon.