Data Scientist, Customer & Growth Analytics
United States of America, Eagan, Minnesota
R
USD 137K-254K Mid-level Full Time
Tasks
- Build propensity to upgrade and engagement scoring models
- Communicate model insights to non-technical stakeholders
- Define success metrics and analyze experimentation lift
- Deploy models in Customer Data Platform for activation
- Design predictive models for customer expansion
- Document modeling approaches and outputs
- Engineer features from product usage and campaign data
- Validate monitor and improve model performance
Perks/Benefits
- Employee assistance program
- Fitness reimbursement
- Flexible vacation
- Flexible work-life balance
- Hybrid work model
- Mental health days
- Retirement savings
- Social impact initiatives
- Tuition reimbursement
- Volunteer days off
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
Classification | Customer Data | Customer Data Platform | Customer Segmentation | Data Pipelines | Data Quality | Data platform | Experimentation | Feature Engineering | Machine Learning | Model Evaluation | Predictive Modeling | Propensity Modeling | Python | Statistical Analysis | Treasure Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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