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Senior Data Scientist - Logistics, Workforce(m/w/x)
Developing ML models for logistics optimization and workforce planning. 5+ years of ML experience with Python and statistical modeling required. 27 days holiday, €1000 educational budget.
Requirements
- 5+ years of experience applying machine learning methods
- Fluency in Python and familiarity with scientific/visualization libraries (NumPy, Pandas, Scikit-learn, Matplotlib, Plotly)
- Ability to transfer business problems to technical solutions
- Design, execute, and analyze A/B tests for platform changes
- Experience solving regression and classification problems with statistical, linear/non-linear, and ensemble models (Random Forest, XGBoost, LightGBM, CatBoost)
- Experience with Time-Series Forecasting, Operations Research, and Statistics is interesting
- Experience with Big Data platforms (Big Query/Spark) and SQL query writing
- Ability to write maintainable code following software engineering best practices
- Severely disabled applicants with equal qualifications will be given preferential consideration.
Tasks
- Conceptualize modeling approaches for logistics challenges
- Innovate new modeling solutions using Machine Learning, Operations Research, and Statistics
- Pair-program to automate model retraining and prediction generation
- Contribute ideas in brainstorming sessions to solve complex modeling problems
- Define data needs for projects and collaborate with data engineering and tech teams
- Work with (semi-)structured data from BigQuery DWH and process with Spark
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Plotly
- Random Forest
- XGBoost
- LightGBM
- CatBoost
- Big Query
- Spark
- SQL
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
- Home
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- Home
- Jobs in Germany
- Senior Data Scientist - Logistics, WorkforceSenior Data Scientist - Logistics, Workforce at Delivery ...
Senior Data Scientist - Logistics, Workforce(m/w/x)
Developing ML models for logistics optimization and workforce planning. 5+ years of ML experience with Python and statistical modeling required. 27 days holiday, €1000 educational budget.
Requirements
- 5+ years of experience applying machine learning methods
- Fluency in Python and familiarity with scientific/visualization libraries (NumPy, Pandas, Scikit-learn, Matplotlib, Plotly)
- Ability to transfer business problems to technical solutions
- Design, execute, and analyze A/B tests for platform changes
- Experience solving regression and classification problems with statistical, linear/non-linear, and ensemble models (Random Forest, XGBoost, LightGBM, CatBoost)
- Experience with Time-Series Forecasting, Operations Research, and Statistics is interesting
- Experience with Big Data platforms (Big Query/Spark) and SQL query writing
- Ability to write maintainable code following software engineering best practices
- Severely disabled applicants with equal qualifications will be given preferential consideration.
Tasks
- Conceptualize modeling approaches for logistics challenges
- Innovate new modeling solutions using Machine Learning, Operations Research, and Statistics
- Pair-program to automate model retraining and prediction generation
- Contribute ideas in brainstorming sessions to solve complex modeling problems
- Define data needs for projects and collaborate with data engineering and tech teams
- Work with (semi-)structured data from BigQuery DWH and process with Spark
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Plotly
- Random Forest
- XGBoost
- LightGBM
- CatBoost
- Big Query
- Spark
- SQL
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
About the Company
Delivery Hero
Industry
Logistics
Description
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
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