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Senior Data Scientist(m/w/x)
Designing targeting models and optimizing bidding policies with Bayesian methods and reinforcement learning. Expertise in real-time recommender systems and neural networks required. Hybrid work setup, 3 core office days.
Requirements
- 4+ years professional experience in Data Science (AdTech, mobile gaming, e-commerce or similar)
- Track record of architecting/deploying ML solutions
- Expertise in real-time large scale recommender systems
- Expertise in neural networks
- Comfortable in sophisticated, distributed engineering environment
- Excellent Python skills
- Excellent SQL skills
- Experience integrating models into automated training/deployment pipelines
- Strong foundation in mathematical concepts
- Skilled at translating complex algorithms into clear explanations
- Pragmatic and solutions-oriented
- Ability to balance technical excellence with velocity
- Clear, direct, and kind communication skills
- Strong team player
- Enjoys helping others
- Engages in productive technical discussions
Tasks
- Design and implement sophisticated targeting models
- Refine ad performance and user engagement through machine learning
- Develop and optimize bidding policies using Bayesian methods
- Apply reinforcement learning and advanced optimization algorithms
- Continuously refine bidding policies to maximize business KPIs
- Create and implement meta-learning frameworks
- Learn from user interactions to enable personalized ad experiences
- Conduct rigorous A/B testing and experimentation
- Validate hypotheses and measure impact on key business metrics
- Harden successful experiments into scalable solutions
- Take end-to-end ownership of models within modern ML stack
- Balance speed-to-market with robust engineering principles
- Share specialized knowledge proactively
- Engage in healthy architectural debates
- Foster a collaborative environment with constructive feedback
Work Experience
- 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- neural networks
- recommender systems
Benefits
Flexible Working
- Hybrid work setup
- 3 core office days
- Flexible working hours
- 3 weeks remote work per year
Career Advancement
- Regular feedback
Learning & Development
- Development program
Other Benefits
- Visa support
Additional Allowances
- Relocation bonus
More Vacation Days
- 30 vacation days
Healthcare & Fitness
- Free in-house gym
- Fitness classes
Mental Health Support
- Employee Assistance Program (EAP)
Modern Office
- Alster lake view office
- Fun open spaces
Modern Equipment
- Top-notch equipment
Snacks & Drinks
- Variety of snacks and drinks
Team Events
- Regular team events
- Company events
- Hackathons
- Social gatherings
- Home
- Jobs in Germany
- Senior Data ScientistSenior Data Scientist at adjoe
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- Home
- Jobs in Germany
- Senior Data ScientistSenior Data Scientist at adjoe
Senior Data Scientist(m/w/x)
Designing targeting models and optimizing bidding policies with Bayesian methods and reinforcement learning. Expertise in real-time recommender systems and neural networks required. Hybrid work setup, 3 core office days.
Requirements
- 4+ years professional experience in Data Science (AdTech, mobile gaming, e-commerce or similar)
- Track record of architecting/deploying ML solutions
- Expertise in real-time large scale recommender systems
- Expertise in neural networks
- Comfortable in sophisticated, distributed engineering environment
- Excellent Python skills
- Excellent SQL skills
- Experience integrating models into automated training/deployment pipelines
- Strong foundation in mathematical concepts
- Skilled at translating complex algorithms into clear explanations
- Pragmatic and solutions-oriented
- Ability to balance technical excellence with velocity
- Clear, direct, and kind communication skills
- Strong team player
- Enjoys helping others
- Engages in productive technical discussions
Tasks
- Design and implement sophisticated targeting models
- Refine ad performance and user engagement through machine learning
- Develop and optimize bidding policies using Bayesian methods
- Apply reinforcement learning and advanced optimization algorithms
- Continuously refine bidding policies to maximize business KPIs
- Create and implement meta-learning frameworks
- Learn from user interactions to enable personalized ad experiences
- Conduct rigorous A/B testing and experimentation
- Validate hypotheses and measure impact on key business metrics
- Harden successful experiments into scalable solutions
- Take end-to-end ownership of models within modern ML stack
- Balance speed-to-market with robust engineering principles
- Share specialized knowledge proactively
- Engage in healthy architectural debates
- Foster a collaborative environment with constructive feedback
Work Experience
- 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- neural networks
- recommender systems
Benefits
Flexible Working
- Hybrid work setup
- 3 core office days
- Flexible working hours
- 3 weeks remote work per year
Career Advancement
- Regular feedback
Learning & Development
- Development program
Other Benefits
- Visa support
Additional Allowances
- Relocation bonus
More Vacation Days
- 30 vacation days
Healthcare & Fitness
- Free in-house gym
- Fitness classes
Mental Health Support
- Employee Assistance Program (EAP)
Modern Office
- Alster lake view office
- Fun open spaces
Modern Equipment
- Top-notch equipment
Snacks & Drinks
- Variety of snacks and drinks
Team Events
- Regular team events
- Company events
- Hackathons
- Social gatherings
About the Company
adjoe
Industry
Marketing
Description
The company is a leading mobile ad platform developing cutting-edge advertising and monetization solutions for app partners.
Not a perfect match?
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