Remote Data Engineer III

Summary

Join Zuora's AIMS team as a Machine Learning Engineer and leverage AI technologies to enable total monetization for the company. As a core member of the team, you will be responsible for identifying customer problems that can be solved using ML, building business cases, and executing plans with stakeholders. You will also build end-to-end ML models, work with upstream data engineering and software engineering teams, and take models into production.

Requirements

• 5+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
• Strong data engineering background, with ETL experience, building and maintaining pipelines, data modeling, data warehousing concepts, and familiarity with Big Data techniques
• 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

Responsibilities

• 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
• Technical expertise, simplify complexity - build end to end ML models, be it classification/ unsupervised/ LLMs using a combination of structured and unstructured data
• 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

Benefits

• Competitive compensation
• Corporate bonus program
• Performance rewards
• Company equity
• Retirement programs
• Medical insurance
• Generous, flexible time off
• Paid holidays
• Wellness days
• Company wide end of year break
• 6 months 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