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Data Scientist - Quick Commerce(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- NLP
- classification
- recommendation systems
- LLMs
- agentic frameworks
- Python
- A/B testing
- Agentic AI systems
- GCP
Benefits
More Vacation Days
- 27 days holiday
- Additional holiday for service
Additional Allowances
- 1.000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Learning & Development
- Language Courses
- Udemy Business platform access
Family Support
- Parental Support
Healthcare & Fitness
- Health Checkups
- Gym & Bicycle Subsidy
Mental Health Support
- Meditation
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Public Transport Subsidies
- Public Transportation Ticket Discount
Other Benefits
- Life & Accident Insurance
- Relocation support
Retirement Plans
- Corporate Pension Plan
Corporate Discounts
- Corporate Discounts
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Data Scientist - Quick Commerce(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- NLP
- classification
- recommendation systems
- LLMs
- agentic frameworks
- Python
- A/B testing
- Agentic AI systems
- GCP
Benefits
More Vacation Days
- 27 days holiday
- Additional holiday for service
Additional Allowances
- 1.000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Learning & Development
- Language Courses
- Udemy Business platform access
Family Support
- Parental Support
Healthcare & Fitness
- Health Checkups
- Gym & Bicycle Subsidy
Mental Health Support
- Meditation
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Public Transport Subsidies
- Public Transportation Ticket Discount
Other Benefits
- Life & Accident Insurance
- Relocation support
Retirement Plans
- Corporate Pension Plan
Corporate Discounts
- Corporate Discounts
About the Company
Delivery Hero
Industry
IT
Description
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
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