Delivery Hero
Product Manager (Agentic Discovery)(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DEDelivery Hero
Data Product Manager, Dynamic Assortment - (Quick Commerce)(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing and deploying ML models for dynamic assortment and personalization in quick commerce. 3-5 years in technical data product management required. 27 days holiday, €1000 educational budget.
Anforderungen
- 3-5 years in product management for technical data products
- Focus on data-centric products in e-commerce, marketplaces, or Q-Commerce
- Proven ability to lead technical product initiatives
- Ability to build products leveraging large datasets
- Ability to build products leveraging machine learning models
- Ability to build products leveraging rigorous experimentation (A/B testing)
- Comfortable driving technical conversations with data science and engineering teams
- Strong understanding of machine learning concepts
- Strong understanding of data modeling
- Strong understanding of experimentation frameworks
- Ability to discuss trade-offs in model implementations
- Ability to guide team toward scalable, effective solutions
- Skilled in SQL
- Skilled in data notebooks
- Ability to derive insights
- Ability to define success metrics
- Ability to iterate rapidly in fast-paced, ambiguous settings
- Ability to independently analyze data
- Track record of leading cross-functional teams
- Track record of aligning diverse stakeholders
- Ability to clearly communicate complex ideas
- Ability to translate customer needs into data-driven product features
- Ability to translate business opportunities into data-driven product features
- Experience with large-scale personalization systems
- Experience with large-scale recommendation systems
- Familiarity with machine learning model lifecycle
- Bachelor’s degree in Data Science, Computer Science, or related technical field, or equivalent practical experience
- Experience with merchandising analytics
- Experience with retail analytics
- Proven ability to break down complex initiatives into actionable plans
- Proven ability to drive execution to completion
- Track record of building consensus among diverse stakeholders
- Track record of driving aligned decision-making
Aufgaben
- Translate vision into actionable product roadmap
- Define and prioritize features based on impact
- Develop and refine machine learning models
- Deploy models for product curation and personalization
- Design and run A/B tests to validate hypotheses
- Drive measurable improvements in algorithm performance
- Lead strategic projects like Category Tree implementation
- Develop models for automated merchandising
- Align with cross-functional stakeholders
- Articulate data concepts to non-technical teams
- Establish and monitor success metrics
- Guide product decisions with data-driven insights
Berufserfahrung
- 3 - 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- data notebooks
- machine learning models
- personalization engines
- recommendation engines
- A/B testing
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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DEDelivery Hero
Data Product Manager, Dynamic Assortment - (Quick Commerce)(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing and deploying ML models for dynamic assortment and personalization in quick commerce. 3-5 years in technical data product management required. 27 days holiday, €1000 educational budget.
Anforderungen
- 3-5 years in product management for technical data products
- Focus on data-centric products in e-commerce, marketplaces, or Q-Commerce
- Proven ability to lead technical product initiatives
- Ability to build products leveraging large datasets
- Ability to build products leveraging machine learning models
- Ability to build products leveraging rigorous experimentation (A/B testing)
- Comfortable driving technical conversations with data science and engineering teams
- Strong understanding of machine learning concepts
- Strong understanding of data modeling
- Strong understanding of experimentation frameworks
- Ability to discuss trade-offs in model implementations
- Ability to guide team toward scalable, effective solutions
- Skilled in SQL
- Skilled in data notebooks
- Ability to derive insights
- Ability to define success metrics
- Ability to iterate rapidly in fast-paced, ambiguous settings
- Ability to independently analyze data
- Track record of leading cross-functional teams
- Track record of aligning diverse stakeholders
- Ability to clearly communicate complex ideas
- Ability to translate customer needs into data-driven product features
- Ability to translate business opportunities into data-driven product features
- Experience with large-scale personalization systems
- Experience with large-scale recommendation systems
- Familiarity with machine learning model lifecycle
- Bachelor’s degree in Data Science, Computer Science, or related technical field, or equivalent practical experience
- Experience with merchandising analytics
- Experience with retail analytics
- Proven ability to break down complex initiatives into actionable plans
- Proven ability to drive execution to completion
- Track record of building consensus among diverse stakeholders
- Track record of driving aligned decision-making
Aufgaben
- Translate vision into actionable product roadmap
- Define and prioritize features based on impact
- Develop and refine machine learning models
- Deploy models for product curation and personalization
- Design and run A/B tests to validate hypotheses
- Drive measurable improvements in algorithm performance
- Lead strategic projects like Category Tree implementation
- Develop models for automated merchandising
- Align with cross-functional stakeholders
- Articulate data concepts to non-technical teams
- Establish and monitor success metrics
- Guide product decisions with data-driven insights
Berufserfahrung
- 3 - 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- data notebooks
- machine learning models
- personalization engines
- recommendation engines
- A/B testing
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.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
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.
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