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: Programamtic 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 WAVE a strong competitor in the AdTech industry.
• Be hands-on by working on data science tasks on your own (at least 50% of the working time).
• 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).
• Align with the WAVE 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 a tech degree (mathematics, physics, computer science, or similar). Alternatively 5 years of professional experience in data science.
• You have 2+ years’ of experience working as a Lead (hiring people, doing regular 1-1s, creating career plans).
• You have a strong knowledge of Python, R, Scala, Julia or similar typical programming languages for Data Science.
• 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, 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 a Data Science tech stack (e.g. Airflow, Spark, Kafka, Flink) and can choose the right technologies for the job together with MLOps and Data Engineers.

Heard of our Perks?

• Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city.
• Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs and more.
• Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday
• Physical & Mental Health Package: In-house gym with personal trainer, various classes like Yoga with expert teachers.
• Activity Package: Regular team and company events, hackathons.
• Education Package: Opportunities to boost your professional development with courses and trainings directly connected to your career goals
• Wealth building: virtual stock options for all our regular employees.
• Free of charge access to our EAP (Employee Assistance Program) which is a counseling service designed to support your mental health and well-being.

Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application!

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