Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)
Tasks
- Analyze forecasting data
- Build demand forecasting models
- Collaborate with software engineers and product managers
- Conduct hypothesis testing
- Deploy models to production
- Develop machine learning models
- Implement Deep Learning solutions
- Monitor model impact
- Use gradient boosted trees
Perks/Benefits
- Employee discounts
- Employee stock program
- Family support
- Health and wellbeing benefits
- Hybrid work
- Mental health support
- Paid time off
- Paid volunteering days
- Relocation assistance
- Remote work
Skills/Tech-stack
Causal Inference | Databricks | Deep learning | Forecasting | Gradient boosting | LightGBM | MLflow | Machine Learning | NLP | Operations Research | PyTorch | Python | Sequence Modeling | TensorFlow | Weights and Biases
Education
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