Data Scientist, Business Ventures
Tasks
- Build audience segmentation and personalization frameworks
- Communicate insights to technical and nontechnical stakeholders
- Develop AI powered tools and natural language interfaces
- Develop predictive models
- Evaluate model performance and monitoring
- Forecast demand and revenue drivers
- Implement model outputs into CRM and marketing workflows
- Measure campaign effectiveness using experimentation
- Translate business problems into analytical approaches
- Validate and deploy machine learning models
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Cloud | AWS Cloud Compute | AWS EC2 | AWS Lambda | AWS S3 | Amazon Redshift | Automated testing | Bias analysis | Classification | Cloud Data | Cloud compute | Cloud data warehousing | Customer Value | Customer Value modeling | Data Warehousing | Databricks | Feature Engineering | Forecasting | Generative AI | Git | GitHub | GitHub Actions | Google BigQuery | Language Processing | Machine Learning | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | NumPy | Overfitting Detection | Pandas | Performance Metrics | Propensity Modeling | Python | Query Optimization | R | Recommendation Systems | SQL | Scikit-learn | Segmentation | Snowflake | Value modeling | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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