Delivery Hero
Principal Data Scientist - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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DEDelivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Berlin
Vollzeitmit Homeoffice
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting large-scale AI recommendation systems and Next Best Action (NBA) framework for a delivery platform in 70+ countries. Expertise in large-scale recommendation systems (two-tower, GNNs) for B2B/marketplace required. €1,000 educational budget, plus additional holiday days.
Anforderungen
- Expertise in designing/deploying large-scale recommendation systems (two-tower, deep sequence, GNNs) for B2B/marketplace
- Thought leadership: timeseries analysis, sequence modeling (LSTMs, transformers, forecasting)
- Proven ability to apply causal inference and advanced experimentation frameworks
- Deep expertise: analytical frameworks for optimizing commercial metrics (take rate, LTV, churn)
- Mastery: multi-objective optimization for balancing conflicting vendor KPIs
- Deep experience: designing/deploying real-time 'Next Best Action' algorithms
- Strong foundation in Bayesian methods and uncertainty quantification
- Deep operational knowledge: deploying models using Python (Keras, scikit-learn)
- Proven ability to define 2+ year technical roadmap for Vendor Recommendation Data Science
- Ability to influence strategic direction of Product, Engineering, and Commercial leadership
- Track record: translating complex ML/statistical findings into executive narratives
- History of mentoring Staff and Senior Data Scientists
- Ability to raise scientific rigour and production ML excellence
- Expertise: Reinforcement Learning (RL), Multi-Agent RL, or contextual bandits (advantageous)
- Familiarity: Game Theory or Mechanism Design for multi-sided platform optimization (advantageous)
- Major contributions (papers, talks, libraries) in Large-Scale Recommendation Systems or Time-Series Forecasting (advantageous)
- Expertise: designing feature stores and serving pipelines (advantageous)
Aufgaben
- Lead end-to-end development of large-scale AI recommendation systems.
- Architect the Next Best Action (NBA) framework.
- Develop models for optimal action sequencing and timing.
- Lead advanced time series modeling initiatives.
- Predict demand using time series models.
- Forecast vendor performance.
- Analyze long-term vendor base trends.
- Guide take rate optimization as technical authority.
- Apply statistical rigor to take rate optimization.
- Utilize causal methods for take rate analysis.
- Measure incrementality of vendor pricing levers.
- Measure efficiency of vendor adtech levers.
- Partner with Product, Engineering, and Commercial teams.
- Validate or debunk business hypotheses.
- Drive alignment on the recommendations strategy.
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- two-tower models
- deep sequence models
- Graph Neural Networks
- LSTMs
- transformers
- Python
- Keras
- scikit-learn
- Multi-Agent RL
- contextual bandits
- feature stores
- serving pipelines
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day (2nd year)
- Extra holiday day (3rd year)
Sonstige Zulagen
- Educational budget (€1,000)
- Bicycle subsidy
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee share purchase plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation discount
Sonstige Vorteile
- Life and 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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DEDelivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Berlin
Vollzeitmit Homeoffice
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting large-scale AI recommendation systems and Next Best Action (NBA) framework for a delivery platform in 70+ countries. Expertise in large-scale recommendation systems (two-tower, GNNs) for B2B/marketplace required. €1,000 educational budget, plus additional holiday days.
Anforderungen
- Expertise in designing/deploying large-scale recommendation systems (two-tower, deep sequence, GNNs) for B2B/marketplace
- Thought leadership: timeseries analysis, sequence modeling (LSTMs, transformers, forecasting)
- Proven ability to apply causal inference and advanced experimentation frameworks
- Deep expertise: analytical frameworks for optimizing commercial metrics (take rate, LTV, churn)
- Mastery: multi-objective optimization for balancing conflicting vendor KPIs
- Deep experience: designing/deploying real-time 'Next Best Action' algorithms
- Strong foundation in Bayesian methods and uncertainty quantification
- Deep operational knowledge: deploying models using Python (Keras, scikit-learn)
- Proven ability to define 2+ year technical roadmap for Vendor Recommendation Data Science
- Ability to influence strategic direction of Product, Engineering, and Commercial leadership
- Track record: translating complex ML/statistical findings into executive narratives
- History of mentoring Staff and Senior Data Scientists
- Ability to raise scientific rigour and production ML excellence
- Expertise: Reinforcement Learning (RL), Multi-Agent RL, or contextual bandits (advantageous)
- Familiarity: Game Theory or Mechanism Design for multi-sided platform optimization (advantageous)
- Major contributions (papers, talks, libraries) in Large-Scale Recommendation Systems or Time-Series Forecasting (advantageous)
- Expertise: designing feature stores and serving pipelines (advantageous)
Aufgaben
- Lead end-to-end development of large-scale AI recommendation systems.
- Architect the Next Best Action (NBA) framework.
- Develop models for optimal action sequencing and timing.
- Lead advanced time series modeling initiatives.
- Predict demand using time series models.
- Forecast vendor performance.
- Analyze long-term vendor base trends.
- Guide take rate optimization as technical authority.
- Apply statistical rigor to take rate optimization.
- Utilize causal methods for take rate analysis.
- Measure incrementality of vendor pricing levers.
- Measure efficiency of vendor adtech levers.
- Partner with Product, Engineering, and Commercial teams.
- Validate or debunk business hypotheses.
- Drive alignment on the recommendations strategy.
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- two-tower models
- deep sequence models
- Graph Neural Networks
- LSTMs
- transformers
- Python
- Keras
- scikit-learn
- Multi-Agent RL
- contextual bandits
- feature stores
- serving pipelines
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day (2nd year)
- Extra holiday day (3rd year)
Sonstige Zulagen
- Educational budget (€1,000)
- Bicycle subsidy
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee share purchase plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation discount
Sonstige Vorteile
- Life and 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
Food
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 - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Staff Data Scientist - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeManagementBerlin - Delivery Hero
Data Scientist - Quick Commerce(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Delivery Hero
Senior Data Scientist - Logistics, Workforce(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Director of Data Science, Deep Learning(m/w/x)
Vollzeitmit HomeofficeManagementBerlin