VP, Data Science
Tasks
- Communicate strategy progress risks and recommendations
- Deploy monitor and govern machine learning models
- Develop and deliver experimentation pipelines and workflows
- Develop and deliver predictive models
- Evaluate and improve tools processes metrics and partnerships
- Guide data science tradeoffs for business and regulatory needs
- Lead and mentor data science and research teams
- Own data science and research roadmaps
- Partner with stakeholders to define data science priorities
Perks/Benefits
- 401k match
- Company-Paid Holidays
- Continuing education stipend
- Dental and vision insurance
- Flexible PTO
- Flexible spending account
- Health insurance
- Life insurance
- Remote work
Skills/Tech-stack
AWS | Azure | Cloud platform | Data Analysis | Data Governance | Databricks | Experimentation | Exploratory Data Analysis | Google Cloud | Google Cloud Platform | LLM Applications | LLMs | MLOps | Machine Learning | Model Deployment | Model Development | Model Monitoring | Model Testing | ModelOps | Posit | Python | R | SQL
Education
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