VP, Data Sciences
Lehi, UT, United States
USD 180K-225K (estimate) Executive-level Full Time
Tasks
- Apply machine learning for predictions
- Build data platforms
- Collaborate with stakeholders
- Define KPIs for data initiatives
- Define data strategy
- Deploy analytical models
- Design data architecture
- Develop data lakes
- Develop data reporting
- Develop data warehouses
- Enforce data governance
- Ensure data quality
- Implement ETL and ELT processes
- Lead data engineering data science data analytics teams
- Manage data budgets
- Monitor data quality
- Optimize data processes
- Translate business requirements into technical solutions
Perks/Benefits
- 401k match
- Adoption Assistance
- Education assistance
- Employee resource groups
- Family planning support
- Fertility support
- Flexible time off
- LinkedIn Learning access
- Mental health programs
- Paid parental leave
- Paid time off
- Pet insurance
Skills/Tech-stack
Amazon Web Services | BigQuery | Business Intelligence | CCPA | Cloud Computing | Cloud platform | Data Architecture | Data Governance | Data Lake | Data Modeling | Data Quality | Data Visualization | Data Warehouse | Data platform | Databricks | ELT | ETL | GDPR | Google Cloud | Google Cloud Platform | HIPAA | Healthcare Compliance | Looker | Machine Learning | Microsoft Azure | Power BI | Predictive Analytics | Python | R | Redshift | SQL | Snowflake | Statistical modeling | Tableau | Web Services
Education
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