Data Science Engineer
Tasks
- Analyze trends patterns and anomalies in bidding
- Automate data engineering and ETL from ad events
- Build predictive models for performance monitoring
- Classify ad data using machine learning
- Collaborate with product, engineering, and sales teams
- Communicate insights using data visualization
- Conduct experiments to validate hypotheses
- Create dashboards and automated reports
- Deploy MVPs with scalability speed and accuracy
- Design AI ML algorithms for ad decisioning
- Design bid auctioning models
- Ensure data privacy and security
- Forecast performance using statistical modelling
- Identify and source valuable datasets
- Optimize ad creative using predictive models
- Perform feature engineering on ad event logs
- Prepare structured and unstructured data for modelling
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Kafka | Apache Spark | Business Intelligence | Data Mining | Data Modelling | Data Privacy | Data Processing | Data Security | Data Visualization | Distributed data | Distributed data processing | ETL | Feature Engineering | Julia | Machine Learning | Neural Networks | Operations Research | PyTorch | Python | R | Real Time | Real-time Data | Real-time Data Processing | SQL | Scikit-learn | Statistics | TensorFlow | XGBoost
Education
Roles
Data Science | Data Science Engineer | Data Scientist | Engineer | Scientist
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