Delivery Hero
Product Manager - Logistics, Service Support Experience(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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DEDelivery Hero
Data Product Manager, Dynamic Assortment - (Quick Commerce)(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- data notebooks
- machine learning models
- personalization engines
- recommendation engines
- A/B testing
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Delivery Hero and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DEDelivery Hero
Data Product Manager, Dynamic Assortment - (Quick Commerce)(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- data notebooks
- machine learning models
- personalization engines
- recommendation engines
- A/B testing
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Delivery Hero and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Delivery Hero
Industry
Food
Description
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
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