Data Scientist

Amazon Ads; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Amazon Ads in Bengaluru is seeking a Senior Data Scientist to own and deliver large-scale ML initiatives that impact core metrics. You will bridge research and production, designing scalable models and guiding a team of data scientists.

You will work on deep learning and ML systems spanning NLP, computer vision, and generative AI, with a strong emphasis on production readiness and collaboration with product and engineering leaders.

Qualifications

• 11+ years of industry experience deploying ML in production.
• Deep learning, NLP, and computer vision expertise.
• Proficient in Python with scalable backend knowledge.
• Strong experience with TensorFlow or PyTorch.

Responsibilities

• Lead end-to-end ML initiatives from design to deployment.
• Mentor junior data scientists and drive code quality.
• Collaborate with product and engineering leaders to shape roadmaps.
• Explore NLP, CV, and generative AI research to improve products.

Skills

Deep Learning

NLP

Python

Computer Vision

Model Deployment

Tools

TensorFlow

PyTorch

MLOps

Job description

The Data Sciences team at --- is on a mission to build systemic intelligence across our products and the overarching ecosystem. Being India's largest online marketplace and the most used e-commerce app in India places ---- in a unique position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. The terabytes of daily data compounded in Our data centres offer a dynamic mix of numerical, structured, unstructured, image, and audio-based statistics, all set to define the future of shopping.

About the role

As a Senior Data Scientist, you will take end-to-end ownership of highly complex ML initiatives that impact core business metrics. You will act as the bridge between theoretical research and production-grade implementation. Operating with minimal supervision, you will drive the design of scalable models, mentor junior data scientists, and partner with product leaders to translate fuzzy business problems into concrete technical solutions.

What you will do

• End-to-End Execution: Lead the design, development, and deployment of advanced deep learning and ML models to solve complex e-commerce challenges (e. g., personalization, demand shaping).
• Mentorship: Guide and mentor junior data scientists, ensuring high standards for code quality, statistical rigor, and scalable architecture.
• Cross-Functional Strategy: Partner with Product Managers and Engineering Leaders to shape product roadmaps using data-driven insights.
• Applied Research: Review relevant literature, propose novel solutions to NLP, CV, or generative AI problems, and actively participate in publishing research.
• 11+ years of industry experience with a proven track record of deploying large-scale machine learning solutions into production.
• Deep, hands-on expertise in Deep Learning frameworks (TensorFlow, PyTorch) and complex algorithms.
• Exceptional programming skills in Python and an understanding of highly scalable backend architectures.

Optional Skills

• Proven track record of publications in top-tier conferences (NeurIPS, ICML, ACL).
• Experience with MLOps, model monitoring, and automated deployment pipelines.