Senior Applied Scientist - Demand Forecasting (all genders)
Tasks
- Build demand forecasting models using machine learning
- Collaborate with stakeholders to apply forecasting insights
- Deploy models into production with engineering teams
- Develop deep learning forecasting models
- Improve model serving for inventory allocation
- Improve model serving for predictive storage management
- Share research insights with applied scientists
- Work on scalable forecasting for large datasets
Perks/Benefits
- Counseling and support
- Employee shares program
- Health and wellbeing benefits
- Hybrid working
- Mental health support
- Paid volunteering days
- Peer-to-peer review
- Relocation assistance
- Remote work option
- Training platform
- Work from abroad
Skills/Tech-stack
AWS | Airflow | CI/CD | Databricks | Deep learning | Docker | Git | LightGBM | MLflow | Machine Learning | Model versioning | NumPy | Pandas | PySpark | PyTorch | Python | S3 | SageMaker | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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