Data Scientist & AI Engineer Interview Series

Best Deal
Data Scientist & AI Engineer Interview Series
FAANG Interview Series
10Products
10 x Data Scientist Mock Interview
Webinar | 60mins per session

The series is designed to assess technical depth, system architecture, and executive-level decision-making.

Phase 1: Foundational Technical & Strategy (Rounds 1–5)

  • Round 1: Statistics & Advanced Experimentation – Focuses on complex experimental setups, variance reduction (CUPED/CUPAC), and advanced A/B testing designs (e.g., switchback, cluster randomization).
  • Round 2: Systemic Product Sense & Metric Design – Evaluates the candidate's ability to map product ecosystems, design robust North Star metrics, and conduct root-cause analysis on conflicting or counter-intuitive data.
  • Round 3: Machine Learning Breadth & Intuition – Tests deep theoretical knowledge of loss functions, bias-variance decomposition, optimization mathematics, and dimensionality reduction.
  • Round 4: ML Depth & Production Lifecycle – A comprehensive operational simulation covering production ingestion, covariate shift mitigation, and optimizing models for specific latency SLAs.
  • Round 5: Deep Learning Architecture – Examines transformer fundamentals, normalization techniques (LayerNorm/RMSNorm), and gradient optimization mechanics for massive models.

Phase 2: Engineering & Architecture (Rounds 6–8)

  • Round 6: Distributed Coding & Algorithms – FAANG-style coding assessment focusing on SQL scaling, NumPy/Pandas vectorization, and core data structure/algorithm proficiency.
  • Round 7: Enterprise ML System Design – A whiteboard-style session on designing high-throughput infrastructure, compute topologies, and efficiency strategies like caching, pruning, and quantization.
  • Round 8: Generative AI & LLM Engineering – Focuses on state-of-the-art production LLM backends, including RAG infrastructure, parameter-efficient fine-tuning (PEFT/LoRA), and automated evaluation loops.

Phase 3: Integration & Executive Simulation (Rounds 9–10)

  • Round 9: Full Stack Integration – Assesses the ability to connect front-end telemetry to real-time feature stores, automated training pipelines, and business P&L outcomes.
  • Round 10: Executive Onsite Simulation – A high-pressure, comprehensive final loop testing architectural decision-making, cross-functional leadership, and conflict resolution under constrained conditions.

Package validity: 2 months

What are people saying

I had a great experience during the mock interview with Paramartha. He was incredibly friendly and patient throughout the session, which made it easy to discuss my thought process openly. His feedback was insightful and actionable. He pointed out both strengths and specific areas to improve in a very constructive way. Overall, it was a genuinely helpful session that gave me more confidence and clarity in my preparation. Highly recommend him to anyone looking for meaningful interview practice.
Kiran
Nov 2025
Extremely satisfied with the session, Paramartha is a person with deep expertise, transparency on what works and what doesn’t, and goes above and beyond to make sure we are on the right path, like providing roadmap, resources and examples. THANK YOU!
Sourabh Bagrecha
Sep 2025
The session with Param went far beyond generic resume advice and focused specifically on how to position strategically for Data Science roles. 1. Quantifying impact with measurable outcomes instead of listing responsibilities. 2. Structuring projects using clear problem. 3. Aligning resume keywords with current industry expectations in AI, LLMs, RAG, and ML pipelines
Vasanth Kumar
Feb 2026
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