Data Scientist II - Commercial Insights & Analytics
Tasks
- Acquire and transform datasets and define metrics
- Apply advanced statistical and machine learning analysis
- Communicate insights to non-technical stakeholders
- Design and execute causal measurement frameworks
- Develop reusable data pipelines and code repositories
- Lead advanced analytics and machine learning opportunities
- Own next best engagement data science delivery
- Partner to deliver data and analytics solutions
- Provide technical guidance code review and QC oversight
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Causal Inference | Dataiku | Excel | Ggplot | Git | GitHub | Holdout Design | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Next Best Engagement | Plotly Dash | PowerPoint | Propensity Modeling | Python | Qlik Sense | R | Recommender Systems | SAS | SQL | Segmentation | Snowflake | Statistical Analysis | Tableau | Test and Control | Uplift Modeling | Uplift and Propensity Modeling
Roles
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