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 industry giants to present its own ads.
In the competitive real-time bidding landscape, the Programmatic 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:
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.
