Expertise in statistical concepts and regression analysis
Workday is seeking a Senior Data Scientist to lead cross-functional data science initiatives, focusing on enhancing statistical modeling and informing product decisions. The role requires a strong business mentality and technical expertise in data analysis, programming, and machine learning, while promoting collaboration and communication across teams
Job Summary
The role involves leading cross-functional data science efforts to design and implement innovative solutions that enhance statistical modeling and inform product decisions.
Candidates will excavate customer value from disparate data sources to reconstruct user journeys and evangelize the use of data within Workday's flagship HCM products.
Workday offers a flexible work approach combining in-person and remote time, requiring at least half of the team's time each quarter to be spent in the office or field.
Matching Summary
Match Score: 85
Workday is seeking a Senior Data Scientist to lead cross-functional data science initiatives, focusing on enhancing statistical modeling and informing product decisions. The role requires a strong business mentality and technical expertise in data analysis, programming, and machine learning, while promoting collaboration and communication across teams.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
5+ years hands-on data analysis experience
Proficiency in Python, R, and SQL programming
Expertise in statistical concepts and regression analysis
Experience with machine learning techniques
Proficiency in data visualization tools like Matplotlib
Nice-to-have
Strong business mentality linking data to narratives
Ability to explain technical concepts to non-technical people
Natural curiosity and willingness to stay updated
Excellent project management and communication skills
Experience designing and conducting data-driven experiments
Key Requirements
5+ years of hands-on experience in Data Analysis
5+ years of experience programming in Python, R, and SQL
Understanding of software development life cycle artifacts