Senior Data Scientist (f/m/d)

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

Meet Your Team: Programmatic Data Science

Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad network that takes part in this competition, going against giants like Google, Meta and TikTok to present its own ads.

In the competitive real-time bidding landscape, the WAVE Data Science team operates at a rapid pace, developing cutting-edge algorithms, to create systems that outperform industry giants. Our approach is deeply rooted in rigorous research into user behavior, publisher and advertiser objectives, ensuring an optimal user experience. We are a fast-moving team that rapidly translates theory into impactful solutions, using state-of-the-art technologies and collaborating closely with product and business stakeholders.

What You Will Do

• Architect and Refine Relevance Models: design and implement 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.
• 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.

Who You Are

• You have 4+ years of professional experience in the Data Science field working in adtech, e-commerce, social media or a similar industry.
• You are comfortable navigating and extracting insights from massive datasets using tools like AWS Athena, Spark, 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.

Heard of Our Perks?

• Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city.
• Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs, and more.
• Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday
• Physical & Mental Health Package: In-house gym with a personal trainer, various classes like Yoga with expert teachers & free of charge access to our EAP (Employee Assistance Program) to support your mental health and well-being
• Activity Package: Regular team and company events, and hackathons.
• Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals 

Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application!

We welcome applications from people who will contribute to the diversity of our company.