Senior Staff Engineer

Nykaa · Bengaluru

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted23 Sept 2026
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About Nykaa

Nykaa is hiring in Bengaluru in ecommerce retail. This role looks for around 8+ years of experience.

Skills

  • Recommendation systems
  • Machine learning
  • Python
  • Deep learning
  • A/B testing
  • Online experimentation
  • Probability
  • Statistics
  • NumPy
  • Pandas
  • scikit-learn
  • PySpark
  • TensorFlow
  • PyTorch
  • Triton Inference Server
  • FAISS
  • ScaNN
  • TorchRec
  • ANN search
  • Two-Tower
  • DSSM
  • PinnerFormer
  • DCN
  • DIN/DIEN
  • Transformers
  • Multi-Task Learning
  • Calibration
  • RAG
  • Large language models
  • Multi-modal embeddings

The role

A data scientist at an ecommerce retail company develops recommendation systems and machine learning models for personalized discovery, using Python and deep learning, and applies online experimentation and generative AI to improve consumer experiences.

Full job description

Responsibilities:

Personalized Experience: Own the end-to-end recommendation and personalization strategy across Homepage, PLP, PDP, and Cart, including problem definition, model development, online experimentation, production deployment, and business impact.

Dynamic Homepage Optimization: Develop intelligent systems to dynamically re-rank homepage assets, minimizing user fatigue, improving discovery and exploration, and optimizing overall platform revenue while balancing monetization goals.

Advanced Recommendation Systems: Build and deploy deep learning-based ranking models to deliver highly personalized recommendations leveraging user beauty profiles, skin analyzer insights, and in-app behavioral signals.

Generative Recommendations: LLM-assisted retrieval, RAG for recommendations, user intent modelling, multi-modal embeddings, session summarization, and agentic personalization

Mentorship and Team Development: Mentor junior team members by owning KRAs, conducting code reviews, and driving best practices, while fostering a strong culture of learning, ownership, and innovation.

Research and Innovation: Stay at the forefront of advancements in machine learning and recommendation systems, and translate cutting-edge research into impactful, scalable solutions for Nykaa.

Requirements:

Bachelor's or master's degree in data science, computer science, statistics, or a related field from a reputable institution.

7+ years of industry experience in data science and machine learning, specifically in recommendation systems or personalization.

Technical Skills:

Proven experience in designing and deploying recommendation systems (Retrieval: ANN search, Two-Tower, DSSM, PinnerFormer, and Ranking: DCN, DIN/DIEN, Transformers, Multi-Task Learning, and Calibrations).

Strong programming expertise in Python, with hands-on experience in libraries/frameworks such as NumPy, Pandas, Scikit-learn, PySpark, TensorFlow/PyTorch, and Triton Inference Server.

Familiarity with large-scale recommendation frameworks (e. g., FAISS, ScaNN, TorchRec).

Strong foundation in probability, statistics, and core machine learning concepts.

Deep understanding of A/B testing, incrementality measurement, and online experimentation, particularly in high-scale consumer settings.