Data Scientist

Workday

Hybrid (50% in-office/field and 50% remote)
5+ years hands-on experience in data analysis
Proficiency in python, r, and sql programming
Expertise in statistics and machine learning techniques
Workday is seeking a Senior Data Scientist to lead cross-functional data science efforts, focusing on innovative solutions to enhance statistical modeling and inform product decisions. The role emphasizes collaboration, technical expertise, and the ability to communicate insights effectively within a flexible working environment

Job Summary

  • The role involves excavating customer value from disparate data sources to reconstruct user journeys within Workday applications.
  • Candidates will lead value metrics projects, communicate findings to a wide audience, and educate business teams on data science principles.
  • Workday offers a flexible work approach requiring at least 50% time in-office or field per quarter while providing tools for long-term growth.

Matching Summary

Match Score: 85

Workday is seeking a Senior Data Scientist to lead cross-functional data science efforts, focusing on innovative solutions to enhance statistical modeling and inform product decisions. The role emphasizes collaboration, technical expertise, and the ability to communicate insights effectively within a flexible working environment.

Skills & Requirements

Must-have

  • 5+ years hands-on experience in Data Analysis
  • Proficiency in Python, R, and SQL programming
  • Expertise in statistics and machine learning techniques
  • Experience with Spark/Trino ETL processes
  • Ability to design and conduct data-driven experiments

Nice-to-have

  • Strong business mentality linking data to narratives
  • Curious and creative problem-solving mindset
  • Excellent communication of technical concepts
  • Adaptability to work with different teams
  • Self-motivated leadership qualities

Key Requirements

  • 5+ years of Data Analysis and visualization experience
  • 5+ years of programming experience in Python, R, and SQL
  • Understanding of software development life cycle artifacts

Work Rights

Not specified

Tailored Resume

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