Data Scientist - Peer Content Analytics

Job Title: Data Scientist - Peer Content Analytics Company: Workowon Job Category: Data Science Roles & Responsibilities: * 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-technical stakeholders in a clear and engaging manner. * Visualization & Reporting * Leverage PowerBI to create interactive dashboards and self-service reports that make complex data accessible to a broad audience. * Ensure data products are well-documented, version-controlled, and tested for reliability and reproducibility. Work Location: Gurugram, Haryana, India Availability: Full time

Requirements Requirements * Bachelor’s degree required; Master’s degree in a quantitative field (Math, Computer Science, Engineering, Economics, etc.) strongly preferred. * 2 years of experience in data science or applied ML (predictive modelling), with a proven track record of delivering end-to-end solutions in a business environment. * Demonstrated ability to translate business objectives into actionable data science projects and quantitative analysis into strategic business recommendations. * Advanced proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL for data extraction, transformation, and validation. * 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, experiment tracking (MLflow, Weights & Biases), and production monitoring. * Advanced PowerBI skills for data visualization and interactive reporting. * Excellent communication and collaboration skills, with a proven ability to present complex modeling decisions and data insights to non-technical audiences. * Experience in methodology design for content products, including creating consistent rules for ranking, scoring, or evaluating products and companies. * Proven ability to proactively identify data-driven content opportunities and rapidly convert insights into impactful content. Preferred Qualifications * Experience in building, deploying, or enhancing chatbot solutions using NLP and LLM technologies. Benefits Key Skills: Data Science, Python, SQL, Pandas, NumPy, Data Visualization, Machine Learning, Scikit-learn Salary: Not disclosed