Sr Data Scientist

Company Overview At Zuora, we do Modern Business . We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences. The Team Role Do you like being part of a team that is at the cutting edge of technological and business transformation? Do you enjoy facing new challenges, ambiguous, hard problems? Here at Zuora Platform tech, you will get the opportunity to mold your own projects using cutting edge technology, learn a great deal about multiple areas of the business, and generate true customer value. In this role, you will not only influence but also directly transform how an entire section of the global economy works, through total monetization. As a core member of the AIMS team (AI, ML and science), you will be responsible for leveraging the latest AI technologies to enable total monetization for Zuora. Opportunities lie across the suite of Zuora products and beyond, to enable commerce, grow Zuora’s customer base, launch exciting new products/features, and to use AI to build, improve and optimize. The domain that we operate in provides access to hard problem statements that combine technical data science, statistical and/or econometric knowledge with business expertise-e.g. price optimization, demand sensitivity, forecasting, segmentation analyses, optimization through experimentation and cutting edge gen AI. Our Tech Stack: Java, Spring, Rest API, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, AngularJS What you’ll do Identify $ opportunities - think big picture, work with product, tech and customer-facing teams to identify the largest customer problems that can be solved using ML. Build business cases through a combination of market research and internal analytics Stakeholder relationships and strong communication - work closely with a wide variety of stakeholders to build cohesive plans and execute them. Influence senior leadership through a data-driven approach, including but not limited to market research, customer case studies and pilots/experimentation. Technical expertise, simplify complexity - build end to end ML models, be it classification/ unsupervised/ LLMs using a combination of structured and unstructured data. Work with upstream data engineering and software engineering teams to procure, process and transform data into meaningful features. Always work backwards from the customer, to identify the simplest feasible solutions that can add maximum value. End to end ownership, delivering results - Take models into production and maintain them through effective ML engineering, demonstrate tangible business value, and deliver solutions rather than products. Qualifications- 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience Curious mind to learn, explore and identify biggest customer opportunities Build strong relationships across both technical and business/product teams, earn trust with leadership Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay Willingness to dive deep into the tech stack as well as hands-on coding Experience in building end to end ML models, across the ML lifecycle Strong communication and leadership presence Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite Experien ... (truncated, view full listing at source)