Senior Data Scientist - (Logistics, Workforce)
Tasks
- Build time series forecasting solutions
- Collaborate with data engineering and tech teams
- Conceptualize modeling approaches for logistics problems at scale
- Define data requirements for projects
- Design and analyze A/B tests
- Develop regression and classification models
- Engineer model retraining automation and prediction generation
- Innovate machine learning modeling solutions
- Process semi structured data with Spark
- Write SQL queries to retrieve required data
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
- Relocation support
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | CatBoost | Ensemble learning | LightGBM | Linear Models | Logistic Regression | Machine Learning | Matplotlib | NumPy | Operations Research | Pandas | Plotly | Python | Random Forest | SQL | Scikit-learn | Series forecasting | Spark | Statistics | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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