Location Candidates for this position are preferred to be based in Bangalore India and will be expected to comply with their team s hybrid work schedule requirements Job Title Machine Learning Scientist I 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 Wayfair s 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 What you ll do Design build deploy and refine large-scale machine learning AI models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders engineers analysts and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions Collaborate closely with various infrastructure and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML services Build cutting edge robust ML models and systems that directly impact our customers every day 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 What you ll need 1 years of industry experience with a Master s or a Bachelor s degree in Computer Science Mathematics Statistics or related field Proficiency in Python ML ecosystem numpy pandas sklearn XGBoost etc A robust theoretical understanding and solid hands-on experience working with machine learning algorithms Strong written and verbal communication skills ability to synthesize conclusions for non-experts and overall bias towards simplicity and efficiency Intellectual curiosity and enthusiasm about continuous learning Nice to have Some prior experience or a high-level understanding of search recommendations and ranking in an e-commerce setting would be a strong plus Apache Spark Ecosystem Spark SQL MLlib Spark ML experience or Java experience Familiarity with cloud based compute approaches GCP or AWS Azure ML model development frameworks and ML orchestration tools Airflow Kubeflow VertexAI etc Experience with Kubernetes and Docker Clear track record of publishing or work related projects showing ability to develop cutting edge AI systems About Wayfair Inc Wayfair is one of the world s largest online destinations for the home Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world we re 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 you re looking for rapid growth constant learning and dynamic challenges then you ll find that amazing career opportunities are knocking No matter who you are Wayfair is a place you can call home We re 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 That s why we re proud to be an equal opportunity employer We do not discriminate on the basis of race color ethnicity ancestry religion sex national origin sexual orientation age citizenship status marital status disability gender identity gender expression veteran status genetic information or any other legally protected characteristic Your personal data is processed in accordance with our Candidate Privacy Notice If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at