Delivery Hero
Director of Data Science, Deep Learning(m/w/x)
Vollzeitmit HomeofficeManagement
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DEDelivery Hero
Senior Data Scientist - Logistics, Workforce(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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.
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Plotly
- Random Forest
- XGBoost
- LightGBM
- CatBoost
- Big Query
- Spark
- SQL
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Sonstige Zulagen
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- 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 & accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Senior Manager Software Engineering - Logistics, Time Estimations(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Data Scientist - (Query Intelligence, Global Discovery)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Billie
(Senior) Data Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin
DEDelivery Hero
Senior Data Scientist - Logistics, Workforce(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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.
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Plotly
- Random Forest
- XGBoost
- LightGBM
- CatBoost
- Big Query
- Spark
- SQL
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Sonstige Zulagen
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- 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 & accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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.
Noch nicht perfekt?
- Delivery Hero
Director of Data Science, Deep Learning(m/w/x)
Vollzeitmit HomeofficeManagementBerlin - Delivery Hero
Senior Pricing Analyst (Global Pricing)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Manager Software Engineering - Logistics, Time Estimations(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Data Scientist - (Query Intelligence, Global Discovery)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Billie
(Senior) Data Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin