Senior People Data Scientist
Tasks
- Analyze drivers of retention
- Apply predictive attrition models
- Build executive facing dashboards and data products
- Build organizational health and design metrics
- Create engagement survey insights and action effectiveness analysis
- Design and analyze employee survey programs
- Design data warehousing and data architecture
- Design self serve people data products
- Develop ETL and ELT pipelines
- Ensure data governance privacy and role based access
- Evaluate program effectiveness with causal frameworks
- Evolve enterprise people analytics agenda
- Implement AI in analysis workflows
- Perform cohort and survival analysis
- Plan enterprise people analytics roadmap and operating model
- Standardize metric definitions and data views
- Support HRBPs with data literacy and metric interpretation
- Translate analytical findings into stakeholder stories
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Business Intelligence | Causal Inference | Cohort Analysis | Data Architecture | Data Governance | Data Modeling | Data Pipelines | Data Science | Data Warehousing | ELT | ETL | Engagement Analytics | Greenhouse | Human Resources | Human Resources analytics | Language Processing | Looker | Machine Learning | Multivariate analysis | Natural Language | Natural Language Processing | OneModel | People Analytics | Performance Analytics | Predictive Modeling | Privacy | Psychometrics | Qualtrics | Regression Analysis | Role-Based Access | Role-Based Access Control | SQL | Snowflake | Survey design | Survival analysis | Tableau | Workday | Workforce Planning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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