Wayfair - Machine Learning Scientist

Who we are :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.Wayfairs Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale.You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.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, youll partner with fellow scientists, engineers, analysts, and product managers to apply science and machine learning skills to directly impact Wayfairs revenue.What youll 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 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.We Are a Match Because You Have :- Bachelor's or Masters 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.Assistance For Individuals With Disabilities :Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities.As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations.About Wayfair Inc :Wayfair is one of the worlds largest online destinations for the home.Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, were reinventing the way people shop for their homes.Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career.If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking.No matter who you are, Wayfair is a place you can call home.Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success.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.Every voice, every perspective matters.Thats why were proud to be an equal opportunity employer. (ref:hirist.tech)