Sr. Data Scientist
Tasks
- Build ML models from messy high dimensional data
- Build data pipelines and ETL workflows
- Build predictive systems
- Detect anomalies in shipment and carrier data
- Develop real-time operational dashboards
- Document models and results
- Forecast demand for freight capacity planning
- Optimize routes and transit time
- Support data infrastructure and model deployment
- Translate model outputs into business decisions
- Wrangle large noisy datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | CI/CD | Cloud platform | Computer Vision | Data Modeling | Data Wrangling | Docker | ETL | Git | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Looker | Machine Learning | Microsoft Azure | Natural Language | Natural Language Processing | Power BI | Python | R | REST APIs | SQL | Tableau | Time Series
Education
N/A
Roles
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