Lead data scientist Jobs in Fredenbeck

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. Fuel for the Journey : Benefits to Support Your Ambitions 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 (company name) 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. 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.