Machine Learning Scientist I, Advertising Optim... @ Wayfair
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Who We Are
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. The company leverages cutting edge Machine Learning and AI products to enhance customer experience and drive business growth.
Role Overview - Machine Learning Scientist I
You will be part of a cross-functional team focused on designing, building, deploying, and refining large-scale machine learning and AI models to solve real-world problems for customers.
Key Responsibilities
- Design, build, and deploy scalable ML/AI models.
- Collaborate with commercial stakeholders, engineers, analysts, and product managers.
- Work with infrastructure and ML platform teams to develop production grade services.
- Identify new opportunities from data insights and optimize models.
- Maintain a customer-centric approach in problem solving.
Required Qualifications
- 1+ years of industry experience with a degree in Computer Science, Mathematics, Statistics, or related field.
- Proficiency in Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.).
- Strong theoretical and hands-on experience with machine learning algorithms.
- Excellent communication skills and ability to simplify complex concepts.
- Intellectual curiosity and commitment to continuous learning.
Preferred Skills
- Experience or understanding of search, recommendations, and ranking in e-commerce.
- Knowledge of Apache Spark ecosystem or Java experience.
- Familiarity with cloud services (GCP, AWS, Azure) and ML orchestration tools.
- Experience with Kubernetes and Docker.
About Wayfair
Wayfair is one of the world’s largest online destinations for the home, committed to industry-leading technology and creative problem-solving. This role is ideal for those seeking rapid growth, constant learning, and dynamic challenges in an inclusive, innovative environment.
Location & Work Arrangement
Candidates are preferred to be based in Bangalore, India and must comply with a hybrid work schedule.
Key skills/competency
- Machine Learning
- AI
- Python
- Algorithm Design
- Data Analysis
- Cloud Computing
- Scalability
- Collaboration
- E-commerce
- Communication
How to Get Hired at Wayfair
🎯 Tips for Getting Hired
- Research Wayfair's culture: Understand mission, values and team dynamics.
- Customize your resume: Highlight ML projects and technical skills.
- Network on LinkedIn: Connect with current employees for insights.
- Prepare for interviews: Focus on ML algorithms and system design.