Principal, Data Scientist

Workday

Hybrid (50% in-office, 50% remote)
12+ years experience in data science
Python programming proficiency
Apache spark and hive expertise
Workday is seeking a Principal Data Scientist to join their Deployment Adoption Platform team, focusing on building data models and providing insights for product development. The role requires extensive experience in data science and software engineering within large-scale SaaS environments, and offers a flexible work environment that emphasizes collaboration and individual growth

Job Summary

  • The role involves leading the data science strategy for global deployment and adoption initiatives to drive faster and safer customer onboarding.
  • Candidates 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 combining in-person and remote time, requiring at least half of the quarter spent in the office or field.

Matching Summary

Match Score: 88

Workday is seeking a Principal Data Scientist to join their Deployment Adoption Platform team, focusing on building data models and providing insights for product development. The role requires extensive experience in data science and software engineering within large-scale SaaS environments, and offers a flexible work environment that emphasizes collaboration and individual growth.

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 team collaboration skills
  • High ambiguity navigation
  • Cross-functional stakeholder partnership
  • Strategic roadmap influence
  • Customer success domain knowledge

Key Requirements

  • 12+ years of relevant experience
  • Experience with multi-tenant SaaS environments
  • Hands-on scaling of high-throughput data ingestion

Work Rights

Not specified

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