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REQUIREMENT_ID_16 • 3-DAY_ACTIVE_POLICY

Analyst – Data Scientist

Company
Company United Airlines
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary (approx. 15-20 LPA)
Location
Location Gurugram, Haryana
Posted Date
Posted Date Yesterday
Python SQL Git Large Language Models Prompt Engineering Embeddings Retrieval‑Augmented Generation Agentic AI AI Observability MLOps Data Pipeline Development Microsoft SQL Server Snowflake Google BigQuery Teradata Cloud Platforms (AWS Azure GCP)
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Aptitude Practice Questions Open Resource ↗
Helps you sharpen quantitative and logical reasoning skills essential for the online assessment at United Airlines.
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Company Interview Preparation Guide Open Resource ↗
Provides insights into typical interview patterns and question types for data science roles at large corporations like United Airlines.
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Comprehensive Interview Prep Resource Open Resource ↗
Covers coding, system design, and AI/ML concepts, aligning well with United Airlines' technical interview expectations.
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Algorithm Practice Problems Open Resource ↗
Offers a wide range of coding challenges to improve problem‑solving speed and accuracy for the technical round at United Airlines.

Postgraduate STEM degree (M.E/M.Tech/M.Sc or equivalent) in Data Science, Statistics, Computer Science, Engineering, Operations Research or related field; Minimum 60% aggregate (or equivalent CGPA) in the qualifying degree; 1–2 years of relevant industry experience in AI engineering, data science, analytics or machine learning; Must be legally authorized to work in India without sponsorship; No active backlogs at the time of application.

1
Round 1: Online Assessment (aptitude + coding)
2
Round 2: Technical Interview (AI/ML concepts, Python/SQL coding, system design)
3
Round 3: HR Interview (fit, communication, work‑authorization).
United Airlines, a global leader in aviation, operates a vast network spanning six continents and employs over 90,000 people worldwide. In India, United has been expanding its digital and data capabilities to enhance passenger experience, streamline operations, and drive strategic decision‑making. The company prides itself on a culture of safety, innovation, and inclusivity, offering employees the chance to work on high‑impact projects that touch millions of travelers every day. With a strong focus on technology, United Airlines invests heavily in AI, cloud platforms, and data‑driven solutions, making it an attractive destination for aspiring data professionals. The Analyst – Data Scientist role in Gurugram sits at the intersection of data science, software engineering, and generative AI. Reporting to the AI Solutions team, the incumbent will be responsible for turning raw data and experimental AI models into production‑grade services that improve customer experience, operational efficiency, and business insights. The position demands a blend of strong programming skills, deep understanding of large language models, and hands‑on experience with MLOps and AI observability. **Key Responsibilities** 1. Design, develop, test, and deploy production‑grade AI and Generative AI solutions using Python and SQL. 2. Build and maintain robust data pipelines on platforms such as Microsoft SQL Server, Snowflake, BigQuery, or Teradata. 3. Implement Retrieval‑Augmented Generation (RAG) pipelines, manage embeddings, and integrate agentic AI frameworks for multi‑step reasoning. 4. Conduct prompt‑engineering experiments, evaluate LLM outputs for relevance, accuracy, and safety, and iterate based on findings. 5. Apply MLOps best practices—version control, CI/CD, monitoring, and AI observability—to ensure reliable model performance in production. 6. Collaborate with cross‑functional stakeholders to translate ambiguous business problems into actionable AI solutions. 7. Prepare clear visualizations, dashboards, and presentations using Excel and PowerPoint to communicate insights to senior leadership. 8. Stay updated with the latest advancements in generative AI, cloud services, and data engineering, and mentor junior team members. **Tech Stack**: Python, SQL, Git, Microsoft SQL Server / Snowflake / BigQuery / Teradata, AWS / Azure / GCP, LLMs (e.g., GPT‑4, Claude), LangChain, LangSmith, MLflow, RAGAS, TruLens, Docker, Kubernetes. **Growth Path**: Successful analysts can progress to Senior Data Scientist, AI Solutions Architect, or AI Product Manager roles, with opportunities to lead cross‑functional AI initiatives across United’s global operations. **Why Join United Airlines?** United offers a dynamic, multicultural environment where data professionals can work on cutting‑edge AI projects that have real‑world impact on millions of travelers. Employees benefit from competitive compensation, continuous learning programs, and clear career advancement pathways, all while contributing to a company renowned for safety, innovation, and customer focus.

United Airlines — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
United Airlines Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for United Airlines and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, SQL, Git, Large Language Models, Prompt Engineering, Embeddings, Retrieval‑Augmented Generation, Agentic AI, AI Observability, MLOps, Data Pipeline Development, Microsoft SQL Server, Snowflake, Google BigQuery, Teradata, Cloud Platforms (AWS, Azure, GCP)) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
United Airlines Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join United Airlines as a Analyst – Data Scientist?
Preparation Tip: Highlight United Airlines's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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