Data Science Lead (f/m/d)

adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us.

Meet Your Team: Playtime Data Science

The Playtime Data Science team powers adjoe’s rewarded ad unit, connecting over 200 million users with personalized game offers – at a rate of 2 billion requests per day.

We develop deep learning models that predict user preferences, match games to players, and dynamically adjust pricing to ensure value for users, advertisers, and monetizers.

Our infrastructure supports model training and batch inference via Spark and AWS S3, with real-time inference layers running in production for responsiveness at scale.

Our goal is to keep engagement high while automating performance-driven ad delivery for our partners.

We use Python, train deep learning models on GPU-accelerated clusters, and manage deployments using Airflow and containerized services.

Team members build and maintain core services that make Playtime scalable, relevant, and one of the most rewarding formats in mobile advertising.

What you will do:

• Work closely with Supply & Demand Tech and Product teams to provide DS models which will simultaneously take into account and balance between advertisers’ & monetizers' goals, as well as the end users’ experience.
• Build, maintain & develop new and existing models (classifications, recommendations, etc.).
• Be hands-on by working on data science tasks on your own (at least 50% of the working time).
• Grow and manage a data science team: hire new team members, organize routines in the team, set up guidelines (code style, documentation, best practices).
• Be a mentor and train data scientists in the team to make them better in analysis, programming, communication, and planning.
• Be the owner of critical data science documentation (experiments, implementation details) and act as an advocate for data-related topics in the company and become the go to person in your area of expertise.
• Contribute to the company’s strategic planning. Work on a long-term roadmap and quarterly OKRs.
• Analyze business data to identify opportunities for improvement, and then lead projects that help the company to grow substantially.

Who you are:

• You have a tech degree (mathematics, physics, computer science, or similar). Alternatively 5 years of professional experience in data science.
• You have 2+ years’ of experience of leading and/or mentoring people (hiring, doing regular 1-1s, creating career plans, doing pair programming, etc.).
• You have a strong knowledge of Python, R, Scala, Julia or similar programming languages for Data Science.
• You have the ability to understand business needs and build solutions that help the business & product.
• You have experience developing deep learning models and have applied them already in a production environment with large amount of traffic (>1 million predictions per day)
• You have excellent analytical skills and for every problem you see more than just one solution.
• You have experience drilling into large amounts of data coming from various sources – including AWS Athena, Kafka, Spark, S3, MySQL.
• You are able to dive deep into mathematical foundations and explain complex topics in a simple way.
• You are an excellent communicator and collaborator. You can communicate clearly in written and spoken form. You can also tailor your communication to the specific needs of the audience, be it data scientists, developers, leads, or members of the business teams.
• Plus: Tech & Infrastructure knowledge: Airflow, hosting models, deploying models, etc.
• Plus: Experience in the AdTech industry.

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 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.