Delivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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DEDelivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Berlin
Full-timeWith Home Office
AI/ML
Data Science
Nejo AI Summary
Designing and deploying large-scale AI recommendation systems for vendor success. Expertise in time series analysis and causal inference required. 27 days holiday, with extra days after 2nd and 3rd year.
Requirements
- Expertise in designing, building, deploying recommendation systems
- Expertise in timeseries analysis and sequence modeling
- Proven ability in causal inference and experimentation
- Deep expertise in analytical frameworks for take rate optimization
- Mastery in multi-objective optimization
- Deep experience in real-time decision-making algorithms
- Strong foundation in Bayesian methods and uncertainty quantification
- Deep operational knowledge of deploying models using Python frameworks
- Ability to define 2+ year technical roadmap for Data Science
- Track record of translating ML/statistical findings to executive narratives
- History of mentoring Staff and Senior Data Scientists
- Expertise in Reinforcement Learning (RL)
- Familiarity with Game Theory or Mechanism Design
- Major Contributions in Large-Scale Recommendation Systems or Time-Series Forecasting
- Expertise in designing feature stores and serving pipelines
Tasks
- Lead design, build, and deployment of large-scale AI recommendation systems
- Maximize business outcomes for the vendor vertical
- Own architecture and modeling for Next Best Action framework
- Determine optimal sequence and timing of actions for vendor success
- Lead advanced time series modeling for demand prediction
- Forecast vendor performance and long-term trends
- Optimize take rate using statistical rigor and causal methods
- Measure incrementality and efficiency of pricing and adtech levers
- Partner with Product, Engineering, and Commercial teams
- Validate or debunk business hypotheses
- Drive alignment on recommendations strategy
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- two-tower models
- deep sequence models
- Graph Neural Networks
- LSTMs
- transformers
- Python
- Keras
- scikit-learn
- Reinforcement Learning (RL)
- Multi-Agent RL
- contextual bandits
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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Not a perfect match?
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Principal Machine Learning Engineer - ZMS(m/w/x)
Full-timeWith HomeofficeNot specifiedBerlin - Delivery Hero
Principal Product Manager, Bidding & Marketplace(m/w/x)
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Full-timeWith HomeofficeExperiencedBerlin
DEDelivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Berlin
Full-timeWith Home Office
AI/ML
Data Science
Nejo AI Summary
Designing and deploying large-scale AI recommendation systems for vendor success. Expertise in time series analysis and causal inference required. 27 days holiday, with extra days after 2nd and 3rd year.
Requirements
- Expertise in designing, building, deploying recommendation systems
- Expertise in timeseries analysis and sequence modeling
- Proven ability in causal inference and experimentation
- Deep expertise in analytical frameworks for take rate optimization
- Mastery in multi-objective optimization
- Deep experience in real-time decision-making algorithms
- Strong foundation in Bayesian methods and uncertainty quantification
- Deep operational knowledge of deploying models using Python frameworks
- Ability to define 2+ year technical roadmap for Data Science
- Track record of translating ML/statistical findings to executive narratives
- History of mentoring Staff and Senior Data Scientists
- Expertise in Reinforcement Learning (RL)
- Familiarity with Game Theory or Mechanism Design
- Major Contributions in Large-Scale Recommendation Systems or Time-Series Forecasting
- Expertise in designing feature stores and serving pipelines
Tasks
- Lead design, build, and deployment of large-scale AI recommendation systems
- Maximize business outcomes for the vendor vertical
- Own architecture and modeling for Next Best Action framework
- Determine optimal sequence and timing of actions for vendor success
- Lead advanced time series modeling for demand prediction
- Forecast vendor performance and long-term trends
- Optimize take rate using statistical rigor and causal methods
- Measure incrementality and efficiency of pricing and adtech levers
- Partner with Product, Engineering, and Commercial teams
- Validate or debunk business hypotheses
- Drive alignment on recommendations strategy
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- two-tower models
- deep sequence models
- Graph Neural Networks
- LSTMs
- transformers
- Python
- Keras
- scikit-learn
- Reinforcement Learning (RL)
- Multi-Agent RL
- contextual bandits
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
IT
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
Principal ML Engineer (Agentic AI)(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Delivery Hero
Director of Data Science, Deep Learning(m/w/x)
Full-timeWith HomeofficeManagementBerlin - Zalando Marketing Services GmbH
Principal Machine Learning Engineer - ZMS(m/w/x)
Full-timeWith HomeofficeNot specifiedBerlin - Delivery Hero
Principal Product Manager, Bidding & Marketplace(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Zalando
Applied Scientist - Demand Forecast(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin