Interview Prep · ML Systems Lab

Lenskart Senior MLE / Data Scientist Interview Guide

Lenskart runs eyewear e-commerce with strong offline integration. Senior MLE / DS roles cover face-shape/eyewear recommendation, AR-driven try-on, demand forecasting per store, prescription parsing, and customer analytics. The interview tests computer-vision-flavoured recommendation plus retail analytics. This guide covers it.

Lenskart is India's largest eyewear retailer (online + 1500+ stores). Senior MLE / DS roles cover face-shape-aware recommendation, AR try-on, computer vision for prescription parsing, demand forecasting per store/SKU, and customer analytics. The interview is recommendation-heavy with a computer vision overlay.

The loop structure (Senior MLE / DS)

Standard loop: recruiter screen → ML fundamentals + SQL → ML system design → behavioural.

Round-by-round breakdown

Round 1 — Recruiter screen. 30 min.

Round 2 — ML fundamentals + SQL. 75 minutes. Standard.

Round 3 — ML system design. 75 minutes. Face-shape-aware eyewear recommendation, AR try-on backend, or per-store demand forecasting.

Round 4 — Behavioural. 45 minutes.

What Lenskart weights distinctively

1. CV-flavoured recommendation. Face shape, eyewear style geometry. Image embeddings matter. 2. Omnichannel inventory. Online + offline. Forecasting per store per SKU per day. 3. Returns handling. Eyewear has unique return patterns (fit issues, prescription errors). 4. Customer-lifetime-value. Lenskart customers buy infrequently but with high LTV.

Top 10 questions Lenskart senior MLE / DS candidates face

1. "Face-shape-aware eyewear recommendation — architecture?" 2. "AR try-on backend — what's the ML stack?" 3. "Per-store demand forecasting — SKU × store × week. What features?" 4. "Diagnose: returns rate in a specific frame style jumped 12%. Approach?" 5. "Prescription parsing OCR — error tolerance and human-in-the-loop." 6. "CLV modeling — predict 3-year LTV at first purchase?" 7. "Cold-start: new frame style launched. How does it get exposure?" 8. "Image-based recommendation — when better than collaborative filtering?" 9. "Omnichannel attribution — online browse → offline buy?" 10. "Walk through your most impactful project."

The prep path through MSL

  • Tier 5 (Evaluation) — calibration, position bias.
  • Tier 7 (Production Engineering) — all 5 posts.
  • Posts 48 (Feedback Loops), 70-72 (RecSys), 110 (CV), 118 (Survival for CLV).
  • Compensation

    Lenskart Senior MLE / DS in 2026 ranges roughly ₹30 lakh – ₹55 lakh for 5-7 YOE. Lead roles ₹70 lakh+.

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