Principal, Data Scientist

Workday

Hybrid (flexible schedule with at least 50% in-office time quarterly)
12+ years experience in data science
Python programming proficiency
Apache spark and hive expertise
Workday is seeking a Principal Data Scientist to lead data science initiatives focused on enhancing customer adoption and insights through advanced analytics and machine learning. The role requires extensive experience in data science, software engineering, and SaaS environments, emphasizing collaboration across various teams

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 decision-making into workflows.
  • Workday offers a flexible work approach requiring at least half of the time each quarter to be spent in the office or with customers.

Matching Summary

Match Score: 85

Workday is seeking a Principal Data Scientist to lead data science initiatives focused on enhancing customer adoption and insights through advanced analytics and machine learning. The role requires extensive experience in data science, software engineering, and SaaS environments, emphasizing collaboration across various teams.

Skills & Requirements

Must-have

  • 12+ years experience in data science
  • Python programming proficiency
  • Apache Spark and Hive expertise
  • Machine learning model architecture
  • Distributed systems knowledge

Nice-to-have

  • Global distributed team collaboration
  • High ambiguity navigation skills
  • Cross-functional stakeholder partnership
  • Curious minds and courageous collaborators
  • Sun-drenched optimism culture fit

Key Requirements

  • 12+ years of experience
  • Strong foundation in distributed systems
  • Hands-on Python expertise
  • Experience with multi-tenant SaaS environments

Work Rights

Not specified

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