Data Scientist I - Advanced Analytics
Tasks
- Acquire and transform datasets
- Analyze promotional impact with test and control
- Build dashboard and presentation reporting
- Build reusable data pipelines
- Build statistical and machine learning models
- Collaborate on data processing with IT
- Create predictive and efficient modeling techniques
- Define and create business metrics
- Develop data visualizations and reports
- Develop patient analytics models
- Develop reusable code repository
- Guide and provide QC oversight to junior team members
- Identify analytics opportunities
- Implement HCP targeting analytics
- Perform A/B testing
- Perform data quality control
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible spending accounts
- Flexible vacation
- Health insurance
- Life insurance
- Parental leave
- Sick time
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Data Pipelines | Data Quality | Data Visualization | Data quality control | Dataiku | Git | GitHub | HCP Targeting | Machine Learning | Patient Analytics | Power BI | Predictive Modeling | Python | Quality Control | R | Retention modeling | SQL | Segmentation Modeling | Snowflake | Statistical Analysis | Tableau | Version control
Education
Roles
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