12+ years experience in data science and software engineering
Expertise in python for data pipelines and production ml systems
Experience with apache spark and hive for big data analysis
This role involves leading the data science strategy for global deployment and adoption initiatives to drive faster and safer customer onboarding
Job Summary
This role involves leading the data science strategy for global deployment and adoption initiatives to drive faster and safer customer onboarding.
The successful candidate will partner with global stakeholders including product, engineering, and customer success teams to embed data-driven decisioning into workflows.
Workday offers a flexible work approach requiring at least half of the time each quarter to be spent in-office or in the field with customers.
Matching Summary
This role involves leading the data science strategy for global deployment and adoption initiatives to drive faster and safer customer onboarding.
Skills & Requirements
Must-have
12+ years experience in data science and software engineering
Expertise in Python for data pipelines and production ML systems
Experience with Apache Spark and Hive for big data analysis
Proven track record in multi-tenant SaaS environments
Hands-on experience with anomaly detection and predictive alerting
Nice-to-have
Curious minds and courageous collaborators
Ability to navigate high ambiguity and set technical direction
Global distributed team collaboration across time zones
Strong foundation in enterprise platforms and distributed systems
Key Requirements
12+ years of experience spanning data science, software engineering, and data platform architecture
Strong proficiency in Python used for data pipelines, modeling, and experimentation
Demonstrated ability to operate effectively in a globally distributed team