Decision Scientist
Belk Merchandising LLC, United States
USD 125K-210K (estimate) Entry-level Full Time
Tasks
- Build SQL data pipelines
- Build and maintain customer feature stores
- Build reinforcement learning and bandit models
- Build response models for incremental lift
- Communicate model results to non-technical stakeholders
- Deploy models into real time decisioning environments
- Design and analyze AB tests
- Design and analyze multivariate tests
- Design next best action decision models
- Develop holdout and incrementality testing
- Develop propensity models
- Engineer customer predictive features
- Integrate third-party data sources
- Monitor model drift
- Retrain models on a cadence
- Write documentation for model governance
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | Adobe Experience | Adobe Experience Cloud | B testing | Braze | CDP integrations | Cloud Data | Cloud data warehousing | Clustering | Contextual Bandits | Data Pipelines | Data Warehousing | Databricks | Drift Detection | Experience Cloud | Experiment design | Feature Engineering | Gradient boosting | Incrementality testing | LightGBM | Machine Learning | Marketing Cloud | Model Monitoring | Model retraining | Multi-Armed Bandit | Multivariate Testing | Neural Networks | Python | R | Reinforcement Learning | SQL | Salesforce Marketing | Salesforce Marketing Cloud | Snowflake | Supervised Learning | Survival analysis | Unsupervised Learning | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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