Lead Data Scientist
Skills
Computer ScienceAnalyticsBusinessDownstream Oil And GasFeature SelectionModelingOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years of industry experience building and deploying ML models in production end-to-end
- Degree in a quantitative field such as Data Science Computer Science Mathematics Statistics Economics or Physics
- Strong proficiency in Python and SQL
- Experience with ML libraries such as scikit-learn XGBoost TensorFlow or PyTorch
- Experience with cloud platforms preferably GCP
- Strong grounding in statistical learning experimental design and model evaluation
- Ability to perform feature engineering feature selection hyperparameter tuning and model optimization independently
- Comfort collaborating with Product Engineering and Analytics
Nice to have
- two-sided marketplace experience
- recommendation systems background
- ranking and personalization experience
- MLOps familiarity
- performance marketing experience
- master's degree
Day to day
- Build and deploy machine learning models that improve a two-sided rental marketplace
- Own projects end-to-end from problem framing and feature engineering through experimentation launch and monitoring
- Partner closely with Product Engineering and Analytics to shape success metrics communicate tradeoffs and drive business impact