adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seemlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment.

10 Billion Daily Bid Predictions

The adjoe Ads Data Science team owns the entire bidding algorithm that decides which ad you are most likely to enjoy through end-to-end: conversion prediction, user quality estimation, and bid shading. Every bid adjoe places in an ad auction is the output of ML models making 10 billion predictions daily, trained on data from mobile SDKs that capture real user behavior at scale.

The team moves fast, new ideas tested offline, A/B tests launched in production within minutes. We rely on industry-proven state of the art technology, adapted to our needs and self-hosted where it matters: PyTorch and TensorFlow for modeling, Trino and Athena for querying a 350TB Iceberg data lake, Airflow and Ray for orchestrating our different training pipelines across multiple GPU clusters. Models are built on 600+ features and trained on 200 million data points, with the full ML lifecycle owned by the team from research and experimentation to deployment and real-time inference at sub-200ms latency.

What You Will Do:

Grow and manage a data science team: hire new team members, organize routines in the team, set up guidelines (code style, documentation, best practices).
Understand business goals to come up with suitable data solutions to make adjoe ads a strong competitor in the AdTech industry.
Provide technical leadership by mentoring data scientists in advanced modeling, neural networks, recommender systems, and related areas, ensuring the team continually improves in technical depth, programming quality, communication, and strategic planning.
Be hands-on by working on data science tasks on your own (at least 50% of the working time).
Be the owner of critical data science procedures (experiments, implementation details).
Align with the adjoe ads product team and adjoe’s Cloud Infrastructure team on priorities, implementation details, tools and best practices.
Contribute to the company’s strategic planning. Work on a long-term roadmap and quarterly OKRs.

Who You Are:

You have 5+ years of professional experience in data science.
You have 2+ years’ of experience working in leadership role (mentoring, hiring, doing regular 1-1s, creating career plans).
You have a track record of architecting and deploying machine learning solutions, with strong expertise in recommender systems and neural networks.
You have a strong knowledge of Python 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 are able to dive deep into mathematical foundations and explain complex topics in a simple way.
You are an excellent cross-team communicator.
Plus: you have experience in building an MLOps tech stack (e.g. Airflow, Spark, Kafka, Flink) and can choose the right technologies for the job together with MLOps and Data Engineers.

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.

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