Senior Machine Learning Scientist

Location: Bangalore, India

Department: Data Science & Machine Learning

Team: Engineering & Technology

About the Role

Wayfair's Advertising Optimization & Automation Science team in Bangalore seeks a Senior Machine Learning Scientist to drive ML innovations supporting warehouse and logistics operations. The role focuses on leveraging state-of-the-art ML for Sponsored Products and ad platforms that optimize inventory management, demand forecasting, and supply chain efficiency, ensuring positive ROI for advertisers while enhancing Wayfair's fulfillment centers. With a data-centric culture, you'll contribute to scaling ad tech that directly impacts operational throughput for millions of customer orders. Key efforts include building generative ML models for automation, analyzing logistics datasets to personalize ads that align with warehouse capacities, and collaborating with engineering teams to deploy solutions in production. This position is pivotal in Wayfair's expansion, adding hundreds of millions in profits through smarter operations, empowering advertisers while streamlining e-commerce logistics from inventory to delivery.

Key Responsibilities

• Develop ML models to optimize warehouse inventory for Sponsored Products
• Automate ad placements to improve logistics efficiency and delivery ROI
• Analyze supply chain data to enhance ad relevance for operational goals
• Build forecasting models for demand in Wayfair's fulfillment centers
• Collaborate with logistics teams to integrate ML into operations
• Experiment with generative AI for inventory and routing automation
• Scale ML pipelines for high-volume e-commerce logistics data
• Monitor and optimize ad performance impacting warehouse throughput
• Drive A/B testing for logistics-impacting ad strategies

Required Qualifications

• Advanced degree in Computer Science, Statistics, or related field
• 5+ years of experience in machine learning or data science
• Proven track record in advertising optimization or e-commerce ML models
• Experience with large-scale data processing in warehouse logistics contexts
• Strong programming skills in Python or similar
• Knowledge of supply chain forecasting and inventory optimization
• Experience deploying ML models in production environments
• Understanding of operational efficiency in logistics operations

Preferred Qualifications

• PhD in Machine Learning or related field
• Experience with Wayfair's supply chain data
• Background in real-time logistics optimization
• Publications in ML for operations research

Required Skills

• Machine Learning algorithms
• Python, TensorFlow, PyTorch
• Big Data tools (Spark, Hadoop)
• Statistical modeling
• A/B testing methodologies
• SQL and data querying
• Cloud platforms (AWS/GCP)
• Optimization techniques
• Supply chain analytics
• Logistics forecasting
• Problem-solving
• Cross-functional collaboration
• Experimentation design
• Model deployment (MLOps)

Benefits

• Competitive salary and performance bonuses
• Comprehensive health insurance coverage
• Flexible work arrangements in Bangalore
• Professional development stipend for ML certifications
• Stock options in growing e-commerce leader
• Generous parental leave policy
• Employee discounts on Wayfair products for home setup

Wayfair is an equal opportunity employer committed to diversity and inclusion.