Note: Only local and W2 Candidates/ No C2C/ No sponsored
Job Summary
As a Data Scientist, you will play a key role in shaping data-driven processes and methodologies to enhance user experience. You will collaborate with cross-functional teams to develop an experimentation strategy for Workday solutions, leveraging insights from both data science and user research to drive business and product decisions.
This role requires a passion for data, strong analytical skills, and the ability to translate complex data into actionable insights. You should be highly motivated to learn and apply new techniques while effectively communicating findings to stakeholders.
Key Responsibilities
Define processes, methods, and outcomes for leveraging data science to enhance user experience.
Partner with cross-functional leaders to refine Workday's experimentation strategy.
Identify opportunities to use existing data from multiple sources to drive product improvements and strategic decisions.
Collaborate with leadership to determine the optimal resourcing plan for a data science team focused on experimentation and UX.
Develop models to analyze user behavior and product usage patterns.
Conduct analysis using diverse datasets and methodologies to uncover meaningful insights.
Contribute to UX metric development and collaborate with research teams to provide actionable insights
Basic Qualifications
Bachelor's degree (or equivalent experience) in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or a related field.
2+ years of industry experience in Data Science and Analytics.
2+ years of experience with data querying languages (e.g., SQL) and scripting languages (e.g., Python).
Strong foundation in statistical modeling and regression analysis.
Expertise in data cleaning, transformation, and visualization.
Demonstrated experience in designing experiments with diverse data sources.
Preferred Qualifications
Master's or PhD in Statistics, Economics, Psychology, Applied Math, Physics, Computer Science, or related fields.
2+ years of experience in analytics focused on enhancing products and driving innovation.
Strong data storytelling and communication skills to influence teams and leadership.
Creative problem solver with the ability to apply first-principles reasoning to complex challenges.
Top Skills (Must-Have)
Experimental Design
R Programming
Regression Analysis
Robust Statistics
Preferred Skills (Nice-to-Have)
Strong Writing & Communication Skills
Comprehensive Network Analysis
Confidence Intervals & Effect Sizes
Multilevel Modeling (Hierarchical Linear Modeling)