Data Science Engineer (GCP)
Tasks
- Analyze and troubleshoot model performance
- Build machine learning models and pipelines
- Communicate insights to stakeholders
- Deploy and monitor ML models in production
- Design marketing mix modeling solutions
- Develop data science solutions
- Implement ETL and ELT pipelines
- Optimize model performance and efficiency
- Perform exploratory data analysis
Perks/Benefits
- Community engagement
- Employee events
- Employer Paid Benefits Package
- Flexible Remote Working Policy
- Lunch and learns
- Snacks and drinks
- Standing desks
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | B testing | BigQuery | CI/CD | Cloud Composer | Cloud platform | Data Processing | Dataflow | Docker | ELT | ETL | Feature Engineering | Feature Selection | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Looker Studio | MLOps | Marketing Analytics | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Power BI | PyTorch | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Scikit-learn | Tableau | TensorFlow | Vertex AI
Education
Roles
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