Machine Learning III

Job Description

The Corporate Data team at Zuora is responsible for building a “data mindset” culture within the company. We aim to maximize the value of our data to improve the customer experience and boost company growth and employee productivity. Our team includes data engineers, data scientists, and machine learning engineers working closely to design and build complete solutions. As a Machine Learning Engineer on the team, you’ll have the opportunity to: Design and implement ML and AI-powered products that leverage the wealth of mission-critical subscription, billing, and payment data our customers manage on the Zuora platform. Evaluate and improve model accuracy, scalability, and performance using appropriate metrics at the industry scale. Research and experiment with cutting-edge ML techniques and optimize model performance to enhance existing and new “smart” products. Deepen your knowledge of the customer lifecycle at a B2B company and contribute directly to maximizing revenue and customer retention. Collaborate with product teams, data engineers, and customer success teams to create end-to-end solutions that scale in production. What you’ll do Improvement of Current Systems: Gather metrics on the performance and effectiveness of the current product. Continuously fine-tune & retrain models to ensure the systems remain efficient. New Product Feature Development: Proactively identify opportunities to enhance our product offerings with machine learning and AI-driven features. Lead the design and development of innovative solutions that align with market demands and customer needs. Best Practices and Governance: Establish and document best practices for training, evaluating, and operating machine learning and AI models. Promote a culture of responsible AI and ensure compliance with data privacy regulations. Your experience and skills Bachelor’s or Master’s in Computer Science, Statistics, Machine Learning, or a related field. 3+ years of relevant technical experience as a Data Scientist, Machine Learning Engineer, or Sofware Engineer Exposure to relevant business domains, including sales, marketing, subscription management, accounts receivable, payment processing, and product analytics. Proficiency in python and common machine learning frameworks such as scikit-learn Solid understanding of software development life cycle and software engineering principles Experience with one or more subfields – sentiment analysis, predictive modeling, etc. Understanding of the machine learning pipeline for deployment and production Excellent communication and teamwork skills to collaborate with cross-functional teams. A passion for staying updated with the latest advancements in data science and AI. As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected, and valued, we support ZEOs with: Competitive compensation, variable bonus and performance reward opportunities, and retirement programs Medical insurance Generous, flexible time off Paid holidays, “wellness” days, and company-wide end-of-year break 6 months of fully paid parental leave Learning & Development stipend Opportunities to volunteer and give back, including charitable donation match Free resources and support for your mental wellbeing