Senior Data Scientist (Recommendation Systems Expert) (f/m/d) at AppLike GmbH
Hamburg, Hamburg, Germany -
Full Time


Start Date

Immediate

Expiry Date

03 Jul, 25

Salary

0.0

Posted On

30 May, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

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 a personal trainer, various classes like Yoga with expert teachers & free of charge 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
      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
    Responsibilities


      • Dive into state-of-the-art algorithms and deep learning models to create recommendation systems, predict user behavior, and optimise user retention.

      • Conduct research and hypothesis testing to come up with ideas that can improve our bidding algorithm.
      • Drill into data from various sources to generate insights and discuss them with your colleagues.
      • 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 in your area of expertise.
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