At StepStone we have a simple but very important mission: As one of the leading online job platforms, we help everyone to find the right job. Therefore, we need you!

To accomplish our mission, we are looking for an experienced Senior Data Scientist (f/m/d) Reinforcement Learning Berlin, Düsseldorf.

You will contribute with research combining multiple types of data, recent technologies, and machine learning techniques (see below) to improve and advance the current state of JobTech. While this is a rather technical role you will work in a highly interdisciplinary team and join our international data science community.

Join us and become part of one of the largest German digital enterprises with more than 4,000 employees. In addition to our international footprint, we are also part of the Axel Springer SE family and its unique European family of successful companies

We are an international and global employer therefore equal opportunities are important for us. We are looking forward to applications from mothers, fathers, people with disabilities and people from the LGBTQIA+ community.

Please let us know, if we e.g. should use a gender neutral pronoun, you need barrier-free access to our offices or we should plan for more time during the application process.

We are always interested in working with great people. Just click the "I'm interested" button - we look forward to meeting you!

• Together with other data scientists and engineers, you will analyze vast amounts of data to understand how different product channels interact with each other and how they contribute to StepStone as a valuable platform for jobseekers.
• You will investigate the impact and interplay of components for content extraction, matching, and recommendations to make our 2-sided matching market more efficient.
• Your focus will be on exploring and applying different techniques from reinforcement learning, multi arm bandits, and online machine learning to optimize user journeys, recruiter experiences, and internal processes.
• You will regularly discuss your findings with other peers and experts from labor economics, data ethics, marketing, and product development to assess their implications.

• You have a degree or work experience with a strong focus on machine learning (ideally in an industrial or applied research environment). Applied experience with reinforcement learning, algorithmic game theory, or differential privacy is a strong plus.
• You have good programming skills in Python or a comparable language that make you comfortable implementing non-standard machine learning methods.
• You enjoy understanding statistical learning algorithms and applying these insights to real world problems.
• You work in a self-driven, problem-solving style and enjoy experimenting and exploring new territory – for example, building proofs of concept to illustrate your approaches and to run experiments that test the performance of models in the wild.

• Your start at StepStone: Two days of onboarding with your new colleagues and an individual settling-in period  
• Individual professional career: We help you reach your goals with a personal career plan and trainings  
• A Grown-Up company with Start-Up flair: A dynamic workplace with flat hierarchies, direct communication on first name basis from trainee to CEO, short distances, helpful and engaged colleagues and flexible working hours  

StepStone GmbH | Völklinger Straße 1| 40219 Düsseldorf 

Apply now via the “Apply Now” Button and ensure further information about the next process steps within 5 days!

Please let us know, if you wish to be addressed in gender-neutral terms.

Please, find our data privacy statement here.