Data Scientist (NLP | LLM) Hiring Test – Overview

This online screening test is designed to evaluate candidates applying for the Data Scientist role. The test aims to assess your technical proficiency, applied understanding, and problem-solving skills across multiple core domains relevant to modern data science applications.

Test Format and Scope

You will be assessed on the following areas:

• LLM (20 Questions) – Large language models, prompt engineering, transformers, and fine-tuning tasks
• NLP (15 Questions) – Text preprocessing, named entity recognition, embeddings, and model evaluation
• Deep Learning (10 Questions) – Neural network architectures, activation functions, training dynamics
• ML Design Patterns (5 Questions) – Reusable design approaches and solutions in ML system development
• MLOps (5 Questions) – Deployment, monitoring, reproducibility, and scaling models in production
• GANs (5 Questions) – Generative Adversarial Networks fundamentals and their applications

Each question is timed (30 seconds), and you must complete the test in a single sitting. Navigation back to previous questions is not allowed, and auto-submission will occur when the time runs out.

Evaluation Criteria

• Total Questions: 60
• Maximum Score: 60 points (100%)
• Feedback: Displayed at the end of the test based on your performance

Important Guidelines

• Do not refresh or close the browser once the test begins.
• Ensure a stable internet connection and a distraction-free environment.
• You are not allowed to copy, record, or share any part of the test.
• Any violation of instructions will result in immediate disqualification.

This test serves as a critical step in the evaluation process and is designed to identify candidates who are ready to take on advanced data science challenges in real-world settings involving large-scale NLP and LLM systems.