Machine Learning Scientist III, Customer Technology

We are looking for machine-learning scientists for research and development of the ML systems that power our real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience. In this role, you ll partner with fellow scientists, engineers, analysts, and product managers to apply science and machine learning skills to directly impact Wayfair s revenue.

What you ll do

• Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers

• Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions

• Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services

• Identify new opportunities and insights from the data (where can the models be improvedwhat is the projected ROI of a proposed modification)

• Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.

We Are a Match Because You Have:

• Bachelors or Master s degree in Computer Science, Mathematics, Statistics, or related field.

• 6-9 years of industry experience in developing machine learning algorithms

• Proficiency in Python or one other high-level programming language

• Solid hands-on expertise deploying machine learning solutions into production

• Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc.

• Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity

• Intellectual curiosity and enthusiastic about continuous learning

Nice to have

• Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)

• Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)

• Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc.

• Experience with deep learning frameworks like PyTorch, Tensorflow, etc.