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Almedia is hiring a

Data Scientist – Academic Track

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Job Description

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).

We are building the future of marketing by rewarding our community of over 60 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

At Almedia, you’ll:

  • Own way more, way earlier — you’ll be trusted with responsibility fast.

  • Push harder, get further — this isn’t a 9–5. We highly reward intensity.

  • Join a rare environment — you will work with ambitious high-speed, high-ownership people.

  • Fully present — we’re 5 days a week in the office to build the energising momentum we need.

Data Scientist – Academic Track

We’re looking for a Data Scientist to join our growing team in Berlin and support the development of our product and data capabilities.

This role is ideal for someone with a strong academic background in data science, statistics, computer science, or a related field, who is looking to apply their knowledge in a fast-moving, product-focused environment.

You’ll work closely with senior team members and gain hands-on experience with modelling, experimentation, and user behaviour analytics.

What You’ll Work On

  • Assist in building and evaluating machine learning models that help personalise recommendations and improve user engagement and conversion

  • Support the development and optimisation of incentives and reward structures

  • Work with data analytics and engineering to improve data pipelines and data quality

  • Contribute to documentation, measurement plans, and experimentation frameworks

  • Help define and track KPIs to ensure analyses and models support real product impact

Your Role

  • Take ownership of smaller projects and features under the guidance of senior data scientists

  • Collaborate with product managers and engineers to integrate models and insights into the product

  • Support improvements in data workflows and processes

  • Participate in technical discussions and bring forward analytical ideas and observations

You Have

  • A strong academic background in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field

  • Solid understanding of statistical modelling, experimentation, and data analysis

  • Experience with Python and SQL, gained through coursework, research projects, or internships

  • Familiarity with machine learning tools such as scikit-learn, TensorFlow, or PyTorch

  • Ability to communicate analytical findings clearly and collaborate with cross-functional teams

Bonus Points

  • Academic or internship experience with ML pipelines or cloud environments

  • Exposure to incentive systems, gaming environments, or user behaviour datasets

  • Interest in experimentation, automation, or consumer-facing digital products

Why Almedia?

  • Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.

  • Scale With Almedia: Grow alongside a startup that has been profitable from day one.

  • Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.

  • Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.


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Salary Information

Salary: 95.000 € - 143.000 €

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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