Staff Data Scientist, AdTech Expert
applike group
full-time
Posted on:
Location Type: Hybrid
Location: Hamburg • Germany
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Job Level
About the role
- 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.
Requirements
- 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.
Benefits
- Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
- Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
- Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
- Thrive Where You Work: Enjoy the Alster Lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
- Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningbayesian methodreinforcement learningA/B testingbidding algorithmsLTV prediction algorithmsdeep machine learning modelsdata processing
Soft Skills
mentoringteam playercommunicationknowledge sharing