Machine Learning Scientist II - Pricing & Profitability Algorithms

Overview Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact. Parental Leave is available; candidates for this position are based in or plan to relocate to Boston, MA and will be expected to comply with their team\'s hybrid work schedule: onsite in Boston on Tuesday–Thursday, remote Monday and Friday. 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 engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in building and deploying scalable ML services Build robust monitoring, alerting, and 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?) Maintain a customer-centric lens in how problems are framed, approached, and solved We Are a Match Because You Have 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 Strong theoretical understanding and hands-on experience deploying machine learning solutions into production Strong written and verbal communication skills, the ability to synthesize conclusions for non-experts, and a bias towards simplicity Intellectual curiosity and enthusiasm for 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 and Perks Time Off: Paid Holidays, Paid Time Off (PTO) Health & Wellness: Full Health Benefits (Medical, Dental, Vision, HSA/FSA), Life Insurance, Disability Protection (Short Term & Long Term Disability) Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships) Mental Health Support Caregiver Services Financial Growth & Security: 401K Matching, Tuition Reimbursement, Financial Health Education, Tax Advantaged Accounts Family Support: Family Planning Support, Parental Leave, Global Surrogacy & Adoption Policy Professional Development & Recognition Accessibility Wayfair is committed to equal opportunities for all individuals. We provide reasonable accommodations to qualified individuals with disabilities, unless doing so would impose an undue hardship. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing the Accommodations for Applicants form. About Wayfair Wayfair is one of the world’s largest online destinations for the home. We are committed to industry-leading technology and creative problem-solving. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. We are an equal opportunity employer and do not discriminate on any legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice. If you have questions or wish to exercise your rights under applicable privacy laws, please contact us at View email address on click.appcast.io. #J-18808-Ljbffr Wayfair