Senior Data Scientist (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

Playtime is a time- and event-based ad unit that continuously rewards users with in-app currency – for the time they spend and events completed while playing mobile games. We connect advertisers to 200+ million Playtime users and serve 2bn requests per day at low latency. We ensure that all parties involved have a positive experience. Advertisers get more users for their apps. Monetizers earn revenue for users on their platforms. Users play fun games while simultaneously getting rewarded. Our data science team powers the engine that distributes our ads. They solve multiple tasks such as developing algorithms to provide the most relevant ads for users, predicting user interests and inclinations, and dynamically adjusting pricing based on these predictions. Because the user base is very diverse we are using deep learning models that we could show to be able to serve the best ads to users.

Within the Playtime team you will be responsible for services and models that we use to provide automated solutions for our advertisers .

• Build, maintain & develop new and existing models (classifications, recommendations, etc.).
• Dive into state-of-the-art algorithms and deep learning models to create recommendation systems, predict user behavior, optimize user retention, advertiser’s ROAS (return on advertising spend) and other dynamic values.
• Drill into data from various sources to generate insights and discuss them with your colleagues.
• Act as an advocate for data-related topics in the company and become the go to person in your area of expertise.

• You have 5+ years of professional experience in the Data Science field.
• You have a strong knowledge of Python, R, Scala, Julia or similar typical programming languages for Data Science.
• You have experience drilling into large amounts of data coming from various sources – including AWS Athena, Kafka, Spark, Flink, S3, MySQL.
• 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 are able to dive deep into mathematical foundations and explain complex topics in a simple way.
• You are a strong team player and enjoy helping others.
• Plus: Tech & Infrastructure knowledge: Airflow, hosting models, deploying models, etc. Plus: Experience in the AdTech industry.

• 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.