SeniorFull TimeEN
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 – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. Together, this ecosystem connects app developers to over 770 million users worldwide for scalable growth. We are a profitable, high-growth company backed by a $100 million investment from Bertelsmann. 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 700+ 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 both for our advertisers and publishers.
Translate complex product requirements into actionable machine learning solutions.
Build robust models to predict user behavior, e.g. LTV and conversion prediction, optimizing retention, advertiser’s ROAS (return on advertising spend) and other dynamic values.
Leverage state-of-the-art deep learning algorithms, ensuring each solution is fit-for-purpose and impact-driven.
Own the ML lifecycle from end-to-end: extracting insights from terabytes of user behavior data, developing models, validating them through A/B testing, and guiding them into production.
Partner closely with Backend, Infrastructure, and Analytics teams to ensure seamless model integration and system stability.
Present your findings and solutions to product and business stakeholders, clearly communicating the impact of your work on product KPIs.
You have 5+ years of professional experience in the Data Science field. You have a history of successfully deployed models that have made a measurable impact on business and product goals.
You have a strong knowledge of Python and main Data Science libraries: pytorch/tensorflow, pandas/polars, numpy, scikit-learn, lightGBM/catboost/xgboost.
You have experience developing deep learning models and have applied them already in a production environment with a large amount of traffic (>1 million predictions per day).
You have advanced SQL skills and experience drilling into large amounts of data using distributed query engines (e.g., AWS Athena, Trino, Spark).
You can explain complex mathematical foundations in simple, non-technical terms. You are comfortable in translating product language into ML logic and vice-versa.
You are open to relocating to Hamburg, Germany.
Big Plus: Experience in the AdTech industry.
Plus: Tech & Infrastructure knowledge: Airflow, hosting models, deploying models.
