Data Science Lead (Programmatic Data Science) (f/m/d)

The interview process at applike group is seamless, fast, and fun for you! Recruiting is a two-way street, so that’s why our process is designed for both you and us to get to know each other. Our Talent Acquisition team is there to guide you through the process, making sure you will receive the best candidate experience. The process is usually divided into 5 major steps:First InterviewIn the first interview you will meet someone from the Talent Acquisition team to get to know more about the company, our culture and the open role.Case Study StepWe designed this step to get a deeper understanding of your skills and also give you some insights into tasks that might be awaiting you in the new role.#### Data Science Lead (Programmatic Data Science) (f/m/d)* Hamburg* adjoe* Programmatic Data Science* Full-timeis 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 ecosystem, adjoe is home to an , powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.**Meet Your Team: Programamtic Data Science**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##### 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.- **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.- 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.manage\\_search### Do some research!We will give you all the information about the role & company’s culture, but it’s always nice to see how you perceive us after doing some online detective workperson\\_celebrate### Let your personality shineIt is a recruiting process, but this doesn’t mean you can’t loosen up and showcase your personality. We are looking for an authentic character and we are open to having some small talk or a funny joke thrown into the mix. This might even show us that you’re a good cultural fit. Remember, we like to have fun!## Finding Home Abroad – Relocation StoriesWe’re supporting new colleagues from all over the world to move to Hamburg, Germany – see what they have to share about their relocation experience:“Moving to Hamburg was a breeze thanks to adjoe/applike. They managed every detail, from flights to accommodation, and their thorough support made me feel valued even before starting my new role. The entire experience was smooth and memorable, making my transition to this beautiful city unforgettable.”Kim – adjoerelocated from the PhilippinesWe aim to make our recruiting process as fast and efficient as possible, but the duration can vary depending on the role you are applying for. Usually we are really fast, though (less than 4 weeks).Yes, if you see multiple roles open that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best seems to match your skills.Yes, if you see multiple roles that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best matches your skills. #J-18808-Ljbffr