Analyst - Data Scientist

Role Overview

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. The Data Scientist designs, develops, and implements scalable AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making. The role builds production-grade applications and workflows using Python, SQL, large language models, Retrieval-Augmented Generation, and agentic AI frameworks.

Responsibilities

• Design, develop, test, and deploy robust AI and Generative AI solutions that improve customer experience, operational efficiency, and business decision-making.
• Build and deploy production-grade workflows, applications, and data pipelines using Python, SQL, relational databases, and modern AI tools.
• Perform advanced exploratory analysis and feature engineering across structured and unstructured datasets to support scalable AI and Generative AI use cases.
• Implement prompt engineering strategies, conduct LLM experiments, and apply output evaluation frameworks to ensure quality, relevance, accuracy, safety, and business usefulness.
• Develop and scale Retrieval-Augmented Generation pipelines and integrate agentic AI frameworks for multi-step reasoning and workflow automation.
• Implement AI observability and MLOps practices to monitor model behavior and system reliability.

Requirements

• Bachelor's degree required.
• 1–2 years of industry experience in AI engineering, data science, analytics, or machine learning.
• Strong Python and SQL proficiency.
• Software engineering fundamentals, including Git.
• Experience with large relational datasets and platforms such as Microsoft SQL Server, Snowflake, BigQuery, or Teradata.
• Practical knowledge of LLMs, prompt engineering, embeddings, RAG, and agentic AI.
• Experience with AI observability and MLOps.
• Must be legally authorized to work in India without sponsorship.

Nice to Have

• Advanced coursework in machine learning, artificial intelligence, applied statistics, or cloud computing.
• Experience deploying Generative AI applications in production, particularly RAG or LLM-based workflows.
• Experience with RAGAS, TruLens, LangSmith, or MLflow.
• Experience with cloud platforms such as AWS, Azure, or GCP.

Skills

• Python
• SQL
• LLMs
• MLOps
• RAG