Hybrid (at least 50% of time in-office each quarter)
5+ years hands-on experience in data analysis
5+ years programming in python, r, and sql
Expertise in statistics and regression analysis
Workday is seeking a Senior Data Scientist to join their Workforce ML team, where the focus is on leveraging data science to enhance product decision-making and user experience. The ideal candidate will bring extensive experience in data analysis, statistical modeling, and machine learning, while contributing to a collaborative and innovative company culture
Job Summary
The role involves leading cross-functional data science efforts to understand business requirements and design innovative solutions that enhance statistical modeling.
Candidates will excavate customer value by reconstructing user journeys through Workday applications using data from various locations and formats.
The company offers a flexible work approach combining in-person time and remote work, requiring at least 50% of time in the office or field each quarter.
Matching Summary
Match Score: 85
Workday is seeking a Senior Data Scientist to join their Workforce ML team, where the focus is on leveraging data science to enhance product decision-making and user experience. The ideal candidate will bring extensive experience in data analysis, statistical modeling, and machine learning, while contributing to a collaborative and innovative company culture.
Skills & Requirements
Must-have
5+ years hands-on experience in Data Analysis
5+ years programming in Python, R, and SQL
Expertise in statistics and regression analysis
Proficiency in machine learning techniques
Experience with Spark/Trino for ETL processes
Nice-to-have
Natural curiosity and willingness to stay updated
Ability to explain technical concepts to non-technical people
Excellent project management and communication skills
Adaptable and flexible team collaboration style
Strong business mentality linking data to narratives
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