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Senior Data Scientist - Logistics, Workforce(m/w/x)
Innovating ML/OR/Statistics models for delivery optimization at a local platform across 70+ countries. Time-Series Forecasting, Operations Research, and Statistics experience required. Pair-programming with squad.
Anforderungen
- At least 3 years of experience applying machine learning methods
- Fluency in Python and familiarity with scientific/visualization libraries
- Experience in solving regression and classification problems
- Experience with Time-Series Forecasting, Operations Research, and Statistics
- Knowledge of Big Data platforms and SQL
- Ability to write maintainable code following best practices
Aufgaben
- Conceptualize modeling approaches for logistics challenges
- Innovate modeling solutions using Machine Learning, Operations Research, and Statistics
- Pair-program with the squad to automate model retraining and predictions
- Contribute ideas in brainstorming sessions to tackle complex modeling problems
- Define data needs and collaborate with data engineering and tech teams
- Process (semi-)structured data using BigQuery and Spark
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Plotly
- Big Query
- Spark
- SQL
Benefits
Gesundheits- & Fitnessangebote
- Health checkups
- Yoga
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Firmenfahrrad
- Bicycle subsidy
Attraktive Vergütung
- Employee share purchase plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Sonstige Zulagen
- 1,000 € educational budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
Familienfreundlichkeit
- Parental support
Gratis oder Vergünstigte Mahlzeiten
- Online canteen
Mitarbeiterrabatte
- Corporate discounts
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Senior Data Scientist - Logistics, Workforce(m/w/x)
Innovating ML/OR/Statistics models for delivery optimization at a local platform across 70+ countries. Time-Series Forecasting, Operations Research, and Statistics experience required. Pair-programming with squad.
Anforderungen
- At least 3 years of experience applying machine learning methods
- Fluency in Python and familiarity with scientific/visualization libraries
- Experience in solving regression and classification problems
- Experience with Time-Series Forecasting, Operations Research, and Statistics
- Knowledge of Big Data platforms and SQL
- Ability to write maintainable code following best practices
Aufgaben
- Conceptualize modeling approaches for logistics challenges
- Innovate modeling solutions using Machine Learning, Operations Research, and Statistics
- Pair-program with the squad to automate model retraining and predictions
- Contribute ideas in brainstorming sessions to tackle complex modeling problems
- Define data needs and collaborate with data engineering and tech teams
- Process (semi-)structured data using BigQuery and Spark
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Plotly
- Big Query
- Spark
- SQL
Benefits
Gesundheits- & Fitnessangebote
- Health checkups
- Yoga
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Firmenfahrrad
- Bicycle subsidy
Attraktive Vergütung
- Employee share purchase plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Sonstige Zulagen
- 1,000 € educational budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
Familienfreundlichkeit
- Parental support
Gratis oder Vergünstigte Mahlzeiten
- Online canteen
Mitarbeiterrabatte
- Corporate discounts
Über das Unternehmen
Delivery Hero
Branche
Logistics
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
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