What you will do
Data Analysis & Insights
- Develop methods, processes, and systems to consolidate and analyze large qualitative and quantitative datasets (support case data, escalation data, retrospective feedback, telemetry, etc.) to generate trends and actionable insights.
- Perform exploratory data analysis (EDA) to identify patterns, anomalies, and root causes that drive improvement opportunities across CEE operations.
- Design and conduct experiments to test hypotheses, validate assumptions, and measure the impact of business initiatives.
Machine Learning & AI
- Apply statistical and machine learning techniques to develop predictive and classification models that solve moderately complex business problems.
- Leverage Natural Language Processing (NLP) and up-to-date ML techniques to extract insights from unstructured text data, including support cases, knowledge base articles, and customer interactions.
- Explore and implement Generative AI and Large Language Model (LLM) based solutions to improve support workflows, content quality, and issue resolution.
- Exposure to AI agents, agentic workflows, and agentic frameworks, with the ability to apply them to real-world business problems
- Train, evaluate, and refine models based on statistical analysis and business feedback, ensuring high model quality and reproducibility.
Data Pipelines & Engineering
- Build and maintain automated data pipelines to streamline complex analytical and operational processes across the organization.
- Collaborate with data engineers to optimize data workflows, ensure data quality, and maintain data integrity across systems.
- Work with modern databases, including relational and vector databases, for structured and unstructured data storage and retrieval.
Visualization & Communication
- Develop and maintain interactive dashboards and data visualizations to communicate insights effectively to technical and non-technical stakeholders.
- Translate highly technical findings into clear, acti
📌 Data Scientist (Pune)
🏢 Red Hat
📍 Pune