About the role:
The Data Scientist - Peer Content Analytics is a hands-on technical expert responsible for designing, building, and deploying machine learning, NLP, and AI solutions. You’ll work at the crossroads of data science, content strategy, and product innovation, turning large volumes of structured and unstructured data into actionable intelligence that drives strategic decisions.
You will collaborate with Content Strategy, Business & Technology Insights (BTI), Product, and Engineering teams to identify high-impact opportunities, operationalize advanced analytics, and translate experimental findings into explicit, compelling business narratives that drive strategic decision-making.

What You'll Do:
Advanced Analytics & AI Solutions:
• Develop, deploy, and maintain scalable machine learning, NLP, and generative AI models using data from Gartner Peer Insights and Peer Community platforms.

• Build reusable pipelines for sentiment analysis, topic modeling, LLM-based summarization, clustering, and other AI-driven content solutions.





• Explore and analyze complex datasets to uncover trends, patterns, and actionable signals that inform research and content strategy.

Methodology & Experimentation:
• Design, implement, and refine scoring systems, ranking algorithms, and statistical models for peer-driven content and publications.

• Establish robust experimentation frameworks, define success metrics, and ensure findings are statistically sound.

• Apply advanced statistical techniques for bias detection, hypothesis testing, regression, and A/B testing.

Cross-Functional Collaboration:
• Partner with business stakeholders to identify opportunities for differentiated peer-driven insights and translate model outputs into actionable narratives for published insights.

• Collaborate with DPT and Engineering to design data pipelines and infrastructure that support model use cases and cross-tool integrations.

• Present complex analytical concepts and model outcomes to non-t

📌 Data Scientist (Gurugram)
🏢 Gartner
📍 Gurugram