Expertise in statistics regression analysis hypothesis testing
Workday is seeking a Senior Data Scientist to join their Workforce ML team, focusing on innovative data-driven solutions to enhance product decisions and customer value. The company emphasizes a collaborative and inclusive culture, valuing integrity and curiosity among its employees
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 be expected to excavate the value customers derive from products by reconstructing user journeys through data residing in different locations and formats.
Workday offers a flexible work approach combining in-person time and remote work, requiring at least half of the time each quarter in the office or field.
Matching Summary
Match Score: 85
Workday is seeking a Senior Data Scientist to join their Workforce ML team, focusing on innovative data-driven solutions to enhance product decisions and customer value. The company emphasizes a collaborative and inclusive culture, valuing integrity and curiosity among its employees.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
5+ years hands-on experience in Data Analysis
5+ years programming in Python R and SQL
Expertise in statistics regression analysis hypothesis testing
Proficiency in machine learning dimensionality reduction ensemble learning
Experience writing sophisticated SQL queries and ETL processes with Spark Trino
Nice-to-have
Strong business mentality linking data sources with product narratives
Ability to explain sophisticated technical concepts to non-technical people
Natural curiosity and willingness to stay updated with latest technologies
Excellent project management and communication skills
Consistent record of collaboration with team members
Key Requirements
5+ years of hands-on experience in Data Analysis and visualization
5+ years of experience programming in Python, R, and SQL
Understanding of software development life cycle and artifacts