Remote Data Scientist III
Zuora
πRemote - India
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Job highlights
Summary
Join a team at the cutting edge of technological and business transformation, leveraging AI technologies to enable total monetization for Zuora. As a core member of the AIMS team, you will be responsible for identifying customer problems that can be solved using ML, building business cases, and executing plans with stakeholders.
Requirements
- 5+ 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
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 and 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
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