Senior Data Scientist - (Logistics, Workforce)
Tasks
- Conceptualize modeling approaches at logistics scale
- Conduct brainstorming to solve modeling problems
- Define data needs and collaborate with data engineering
- Engineer solutions to automate model retraining and prediction generation
- Innovate modeling solutions using machine learning
- Process structured and semi structured data with Spark
Perks/Benefits
- Bicycle subsidy
- Corporate discounts
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym subsidy
- Health checkups
- Hybrid working model
- Language courses
- Life and accident insurance
- Meditation
- Paid time off
- Parental support
- Public transportation ticket discount
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | BigQuery | CatBoost | Classification | LightGBM | Machine Learning | Matplotlib | NumPy | Operations Research | Pandas | Plotly | Python | Random Forest | Regression | SQL | Scikit-learn | Series forecasting | Statistics | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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