Machine Learning Scientist II - Pricing & Profitability Algorithms

About the role

Candidates for this position are to be based, or plan to relocate, to Boston, MA and will be expected to comply with their team's hybrid work schedule requirements. Our teams are onsite in our Boston office Tuesday-Thursday, and remote Monday and Friday.

Responsibilities

• 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
• Build robust monitoring, alerting, edge-case handling mechanisms
• Identify new opportunities and insights from the data (where can the models be improved? what 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

Requirements

• Minimum 0-1 years of experience with PhD, or 3+ years of industry experience with MSc/BaSc in STEM -- engineering, computer science, economics, etc.
• Proficiency in Python or one other high-level programming language
• Must have a strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production
• 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 with Spark, Kubernetes, Docker

Benefits

Annual Base Pay: USD 176,000.00 - USD 184,250.00

The above base pay range may vary depending on location, job-related knowledge, skills and experience. The range listed is just one component of Wayfair’s total compensation package for employees. Depending on the position offered, equity, bonuses, commissions and other forms of compensation may be provided as part of the compensation package, in addition to a comprehensive suite of medical, financial and additional benefits.

Pay

Annual Base Pay: USD 176,000.00 - USD 184,250.00

Schedule

Hybrid work schedule: Onsite in Boston office Tuesday-Thursday, remote Monday and Friday.