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 up-to-date 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 transparent, actionable busine

📌 Data Scientist Pashan (India)
🏢 Red Hat India Private
📍 India