Delivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Vollzeitmit HomeofficeKeine Angabe
Berlin
Neuer Job?Nejo!
Die KI-Suchmaschine für Jobs
DEDelivery Hero
Data Scientist - Quick Commerce(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Automating product catalog lifecycles and content enrichment for non-food assortments at global delivery platform. Minimum 3 years experience deploying machine learning models in production required. Annual 1,000 € educational budget, language courses, and parental support.
Anforderungen
- Strong background in applied ML
- Ambition to solve complex catalog problems
- Strong coding and problem-solving skills
- 3+ years industry experience in production
- Expertise in building and deploying models
- Strong statistical foundations
- Excellent engineering skills in Python
- Experience with model validation and experimentation
- Ability to work cross-functionally
- PhD in AI, ML, or related
- Experience scaling catalog automation systems
- Experience building Agentic AI systems
- Experience fine tuning LLMs
- Familiarity with cloud platforms
- Contributions to the data science community
Aufgaben
- Design and deploy ML models
- Automate content creation and product enrichment
- Power a smarter product assortment
- Scale non-food offerings and market reach
- Automate the product catalog lifecycle
- Optimize product categorization and curation
- Collaborate with engineers and data scientists
- Formulate and drive ML hypotheses
- Validate model accuracy and performance
- Deploy ML-powered attribute enrichment services
- Implement product assortment curation services
- Design AI agents for attribute moderation
- Analyze business impact of ML models
- Extract product attributes using ML
- Recommend category tree structures
- Curate high-impact featured categories
- Apply state-of-the-art NLP and LLMs
- Research and implement deep learning models
- Ensure scalable and fast production solutions
- Develop long-term catalog automation visions
- Deliver measurable short-term business wins
Berufserfahrung
- 3 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- NLP
- classification
- recommendation systems
- LLMs
- agentic frameworks
- Python
- A/B testing
- Agentic AI systems
- GCP
Benefits
Mehr Urlaubstage
- 27 days holiday
- Additional holiday for service
Sonstige Zulagen
- 1.000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Weiterbildungsangebote
- Language Courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental Support
Gesundheits- & Fitnessangebote
- Health Checkups
- Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public Transportation Ticket Discount
Sonstige Vorteile
- Life & Accident Insurance
- Relocation support
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.
Noch nicht perfekt?
- Delivery Hero
Principal Data Scientist - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Software Engineer (Machine Learning)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Data Scientist - Logistics, Workforce(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Staff Data Scientist - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeManagementBerlin
DEDelivery Hero
Data Scientist - Quick Commerce(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Automating product catalog lifecycles and content enrichment for non-food assortments at global delivery platform. Minimum 3 years experience deploying machine learning models in production required. Annual 1,000 € educational budget, language courses, and parental support.
Anforderungen
- Strong background in applied ML
- Ambition to solve complex catalog problems
- Strong coding and problem-solving skills
- 3+ years industry experience in production
- Expertise in building and deploying models
- Strong statistical foundations
- Excellent engineering skills in Python
- Experience with model validation and experimentation
- Ability to work cross-functionally
- PhD in AI, ML, or related
- Experience scaling catalog automation systems
- Experience building Agentic AI systems
- Experience fine tuning LLMs
- Familiarity with cloud platforms
- Contributions to the data science community
Aufgaben
- Design and deploy ML models
- Automate content creation and product enrichment
- Power a smarter product assortment
- Scale non-food offerings and market reach
- Automate the product catalog lifecycle
- Optimize product categorization and curation
- Collaborate with engineers and data scientists
- Formulate and drive ML hypotheses
- Validate model accuracy and performance
- Deploy ML-powered attribute enrichment services
- Implement product assortment curation services
- Design AI agents for attribute moderation
- Analyze business impact of ML models
- Extract product attributes using ML
- Recommend category tree structures
- Curate high-impact featured categories
- Apply state-of-the-art NLP and LLMs
- Research and implement deep learning models
- Ensure scalable and fast production solutions
- Develop long-term catalog automation visions
- Deliver measurable short-term business wins
Berufserfahrung
- 3 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- NLP
- classification
- recommendation systems
- LLMs
- agentic frameworks
- Python
- A/B testing
- Agentic AI systems
- GCP
Benefits
Mehr Urlaubstage
- 27 days holiday
- Additional holiday for service
Sonstige Zulagen
- 1.000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Weiterbildungsangebote
- Language Courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental Support
Gesundheits- & Fitnessangebote
- Health Checkups
- Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public Transportation Ticket Discount
Sonstige Vorteile
- Life & Accident Insurance
- Relocation support
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
IT
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
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Vollzeitmit HomeofficeKeine AngabeBerlin - Delivery Hero
Principal Data Scientist - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Software Engineer (Machine Learning)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Data Scientist - Logistics, Workforce(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Staff Data Scientist - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeManagementBerlin