Delivery Hero
Staff Data Scientist - AdTech Ranking(m/w/x)
Full-timeWith HomeofficeManagement
Berlin
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DEDelivery Hero
Principal Data Scientist - AdTech Ranking(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing AI-powered auction dynamics and ML architectures for restaurant visibility at global delivery platform. Expertise in ranking models and large-scale personalization systems required. €1,000 annual education budget, language courses, and parental support.
Requirements
- Expertise in ranking models, personalization, relevance, multi-objective optimization
- Ability to invent and adapt novel ML architectures
- Driving team expertise through continuous research and state-of-the-art implementation
- Continuous research and evaluation of state-of-the-art advancements in relevance and ranking
- Deep operational knowledge of AI frameworks (TensorFlow, PyTorch)
- Comprehensive understanding of ad auctions, ad exchange platforms, and programmatic advertising macro-economics
- Track record using probabilistic modelling, causal inference, statistical rigour
- Proven experience optimizing business metrics (CPC, CPA, ROAS)
- Advanced proficiency in Python, SQL, and data workflow design
- Ability to formulate and solve complex multi-objective ranking and bidding problems
- Strong foundation in probabilistic modelling, statistical rigour, experimental design
- Track record designing, building, deploying large-scale AI systems
- Experience defining and driving Data Science/ML technical strategy
- History of mentoring engineers/scientists and building organizational alignment
- Expertise in auction design and pricing models (advantageous)
- Contributions to reinforcement learning or causal inference (advantageous)
- Knowledge of A/B testing and experimentation design (advantageous)
- Familiarity with large-scale recommendation systems or forecasting models (advantageous)
Tasks
- Drive transformative innovation in AI-powered ranking systems.
- Drive transformative innovation in bidding systems.
- Lead creation of advanced models and strategies.
- Redefine auction dynamics.
- Maximise advertiser ROI.
- Deliver exceptional user experiences.
- Elevate advertising intelligence capabilities.
- Set new industry benchmarks.
- Shape future of data-driven decision-making.
- Invent and adapt novel ML architectures.
- Solve complex problems at massive scale.
- Drive team's expertise through continuous research.
- Implement state-of-the-art advancements.
- Integrate cutting-edge models into technology stack.
- Research state-of-the-art advancements in relevance and ranking.
- Evaluate state-of-the-art models in relevance and ranking.
- Identify cutting-edge solutions.
- Use probabilistic modelling to validate assumptions.
- Apply causal inference to validate assumptions.
- Apply statistical rigour to validate assumptions.
- Inform design of new auction mechanisms.
- Inform design of platform policies.
- Optimize key business metrics (CPC, CPA, ROAS).
- Drive measurable business outcomes.
- Design robust, end-to-end data workflows.
- Design workflows for front-end tracking.
- Design workflows for large-scale behavioral data.
- Design workflows for feature engineering.
- Formulate and solve complex multi-objective problems.
- Balance conflicting metrics (revenue, engagement, stability).
- Apply probabilistic modelling in experimental design.
- Apply statistical rigour in experimental design.
- Influence product decisions.
- Design, build, and deploy large-scale AI systems.
- Define organizational technical strategy for Data Science.
- Drive organizational technical strategy for ML.
- Influence roadmaps of Engineering and Product teams.
- Mentor Staff and Senior engineers/scientists.
- Build alignment across diverse organizations.
- Deliver ambitious, high-impact goals.
- Apply reinforcement learning to business problems.
- Apply causal inference to business problems.
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- Python
- SQL
- A/B testing
- Causal inference
- Reinforcement learning
- Recommendation systems
- Forecasting models
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday with 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
- Interview accessibility support
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.
Not a perfect match?
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Director of Data Science, Deep Learning(m/w/x)
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DEDelivery Hero
Principal Data Scientist - AdTech Ranking(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing AI-powered auction dynamics and ML architectures for restaurant visibility at global delivery platform. Expertise in ranking models and large-scale personalization systems required. €1,000 annual education budget, language courses, and parental support.
Requirements
- Expertise in ranking models, personalization, relevance, multi-objective optimization
- Ability to invent and adapt novel ML architectures
- Driving team expertise through continuous research and state-of-the-art implementation
- Continuous research and evaluation of state-of-the-art advancements in relevance and ranking
- Deep operational knowledge of AI frameworks (TensorFlow, PyTorch)
- Comprehensive understanding of ad auctions, ad exchange platforms, and programmatic advertising macro-economics
- Track record using probabilistic modelling, causal inference, statistical rigour
- Proven experience optimizing business metrics (CPC, CPA, ROAS)
- Advanced proficiency in Python, SQL, and data workflow design
- Ability to formulate and solve complex multi-objective ranking and bidding problems
- Strong foundation in probabilistic modelling, statistical rigour, experimental design
- Track record designing, building, deploying large-scale AI systems
- Experience defining and driving Data Science/ML technical strategy
- History of mentoring engineers/scientists and building organizational alignment
- Expertise in auction design and pricing models (advantageous)
- Contributions to reinforcement learning or causal inference (advantageous)
- Knowledge of A/B testing and experimentation design (advantageous)
- Familiarity with large-scale recommendation systems or forecasting models (advantageous)
Tasks
- Drive transformative innovation in AI-powered ranking systems.
- Drive transformative innovation in bidding systems.
- Lead creation of advanced models and strategies.
- Redefine auction dynamics.
- Maximise advertiser ROI.
- Deliver exceptional user experiences.
- Elevate advertising intelligence capabilities.
- Set new industry benchmarks.
- Shape future of data-driven decision-making.
- Invent and adapt novel ML architectures.
- Solve complex problems at massive scale.
- Drive team's expertise through continuous research.
- Implement state-of-the-art advancements.
- Integrate cutting-edge models into technology stack.
- Research state-of-the-art advancements in relevance and ranking.
- Evaluate state-of-the-art models in relevance and ranking.
- Identify cutting-edge solutions.
- Use probabilistic modelling to validate assumptions.
- Apply causal inference to validate assumptions.
- Apply statistical rigour to validate assumptions.
- Inform design of new auction mechanisms.
- Inform design of platform policies.
- Optimize key business metrics (CPC, CPA, ROAS).
- Drive measurable business outcomes.
- Design robust, end-to-end data workflows.
- Design workflows for front-end tracking.
- Design workflows for large-scale behavioral data.
- Design workflows for feature engineering.
- Formulate and solve complex multi-objective problems.
- Balance conflicting metrics (revenue, engagement, stability).
- Apply probabilistic modelling in experimental design.
- Apply statistical rigour in experimental design.
- Influence product decisions.
- Design, build, and deploy large-scale AI systems.
- Define organizational technical strategy for Data Science.
- Drive organizational technical strategy for ML.
- Influence roadmaps of Engineering and Product teams.
- Mentor Staff and Senior engineers/scientists.
- Build alignment across diverse organizations.
- Deliver ambitious, high-impact goals.
- Apply reinforcement learning to business problems.
- Apply causal inference to business problems.
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- Python
- SQL
- A/B testing
- Causal inference
- Reinforcement learning
- Recommendation systems
- Forecasting models
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday with 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
- Interview accessibility support
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.
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.
Not a perfect match?
- Delivery Hero
Staff Data Scientist - AdTech Ranking(m/w/x)
Full-timeWith HomeofficeManagementBerlin - Delivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Full-timeWith HomeofficeNot specifiedBerlin - Delivery Hero
Director of Data Science, Deep Learning(m/w/x)
Full-timeWith HomeofficeManagementBerlin - Delivery Hero
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Full-timeWith HomeofficeSeniorBerlin - Bolt Technology
Senior Data Scientist, Ads & Monetisation(m/w/x)
Full-timeWith HomeofficeSeniorBerlin