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# Staff Data Scientist (AdTech Expert)

- **Company:** adjoe GmbH
- **Location:** Hamburg, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Distributed Computing Environment, Interaction Design, Machine Learning, Software Construction, Software Engineering, Reinforcement Learning, Apache Spark, Build Management, Optimization Algorithms
- **Published:** June 4, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=7fb0c62a052d85a1

## About the Role

Do you have experience in Spark?, * You have 7+ years of professional experience working with deep machine learning models in the ad tech industry.

 * You have previously designed and implemented bidding or LTV prediction algorithms for ad tech (working on DSP or Ad Network, or App Publisher's side; preferably performance advertising or gaming).
 * You are comfortable navigating and extracting insights from massive datasets using tools like AWS Athena, Spark, or Ray, demonstrating fluency in distributed data processing.
 * You possess a strong foundation in mathematical concepts and are skilled at translating complex algorithms into clear, concise explanations for both technical and non-technical audiences.
 * You are a strong team player and enjoy helping others.

## Description

* Architect and Refine Relevance Models: Take the lead in designing and implementing sophisticated targeting models that understand user preference within the dynamic ad tech ecosystem. Drive significant improvements in ad performance and user engagement through machine learning techniques.
 * Explore Policy Optimization Strategies: Develop and optimize bidding policies using bayesian method, reinforcement learning and other advanced optimization algorithms. Continuously refine these policies to maximize business KPI and adapt to the ever-changing real-time bidding landscape.
 * Share knowledge and be a mentor: Boost the entire team's performance by sharing your knowledge and experience from the industry. Help your colleagues grow professionally by giving advice and mentoring them.
 * Build and Deploy Meta-Learning Frameworks: Create and implement meta-models that learn from user interactions, enabling personalized ad experiences.
 * Conduct rigorous A/B testing and experimentation: Validate your hypothesis and measure the impact of new features on key business metrics.
 * Champion Software Engineering Best Practices: Advocate for best practices, robust software engineering principles, within and outside our data science community.


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