IBM Associate Data Scientist Off-Campus Drive 2024

Round 1: Cognitive Ability & Coding

• Duration: 100 mins
• Platform: Aon/Cut-e
• Sections: IBM's famous cognitive games (grid puzzles, number series), English language test, and 1 Easy Python coding question.

Round 2: Technical Interview

• Duration: 45 mins
• Questions:
  1. Write an advanced SQL query using Window Functions (RANK vs DENSE_RANK).
  2. Explain the assumptions of Linear Regression. What is Multicollinearity, and how do you detect it (VIF)?
  3. Pandas data manipulation: How to handle missing data and outliers in a dataset.
• How to Answer: Data Science interviews for freshers are 50% technical and 50% storytelling. When asked how to handle missing data, don't just say 'drop the rows' or 'impute with mean'. Explain why: 'If the data is missing at random, I might use median imputation to avoid outlier bias, but if it's systematic, dropping might introduce bias.'

Round 3: HR / Managerial

• Duration: 30 mins
• Topics: Walk me through your resume. Talk about a time your analysis led to a concrete decision. What are IBM's core values?
• How to Answer: Research IBM's recent pivot into Hybrid Cloud and WatsonX (their AI platform). Mentioning these specific technologies showed I was genuinely interested in the company, not just looking for any job.

Key Takeaways for Freshers

For entry-level Data Science, solid SQL and Pandas skills are much more important than building complex Deep Learning models. Be prepared to explain basic statistical concepts clearly to non-technical stakeholders.