Senior Data Scientist (Recommender Systems Expert)

Senior Data Scientist (Recommender Systems Expert)

As a Data Scientist, you will be responsible for assisting our WAVE product team by gathering, interpreting, and deriving smart conclusions based on data. You will have access to state-of-the-art technology to implement new approaches on how to leverage our data assets with new ideas. 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.

About the Company

There’s no tech company out there without data. All of our products and their development are based on data, which is why the BI & Data Science team is at the heart of every company process – including product development and decision-making processes. As a part of the BI and Data Science team, you will be working closely with our WAVE product team. Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? It’s exactly for this that Adjoe has built WAVE. Behind the scenes, we have an impressive prediction model working to figure out if an ad will lead to installing an app or not. The algorithm requires operating data from different data sources and performs calculations in real-time. You’ll conduct research and investigations for the algorithm improvements and generate ideas for new features that could be included in the model. You will have access to state-of-the-art technology and work closely with the product and business teams to shape the future of Adjoe’s core business and technologies.

Responsibilities

• Dive into state-of-the-art algorithms and deep learning models to create recommendation systems, predict user behavior, and/or optimise in-app retention.
• Conduct research and hypothesis testing to come up with ideas that can improve our bidder algorithm.
• Drill into data from various sources and write queries to generate insights.
• Create, analyse, and communicate reports and statistics to our business teams and partners.
• Transform recurring analyses into KPIs and Dashboard Views we can easily monitor.
• Act as an advocate for data-related topics in the company and become the go-to person for stakeholders in your area of expertise.

Requirements

• At least +4 years of professional experience in the Data Science field working in adtech, e-commerce, social media, or a similar industry.
• Strong understanding of deep neural networks (libraries such as TensorFlow and PyTorch) and experience developing deep neural networks for recommendation systems.
• Experience in deep cross networks and multi-task deep learning is a plus.
• Interest in big data and outstanding experience in SQL.
• Able to dive deep into math and explain complex topics in an easy way.
• Strong team player who enjoys helping others.
• Passionate about working with stakeholders and communicating insights effectively.

Working Conditions

• Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly office in the city center.
• 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 a personal trainer, various classes like Yoga with expert teachers & free access to our EAP (Employee Assistance Program) to support your mental health and well-being.
• Activity Package: Regular team and company events, and hackathons.
• Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals.
• Wealth Building: Virtual stock options for all our regular employees.

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