Data Scientist – Academic Track
AlmediaJobsCloseBy Editorial Insights
Almedia is seeking a Data Scientist for the Academic Track in Berlin to build models, run experiments, and strengthen our product through smarter insights, while improving data pipelines and KPI measurement. The ideal candidate has a strong academic background in data science, statistics, or computer science, and solid Python and SQL skills with experience in scikit-learn, TensorFlow, or PyTorch. You’ll own smaller projects, collaborate with product managers and engineers, and translate analyses into real product impact in a fast moving, office-based setting that rewards intensity. To apply, emphasize concrete projects with measurable outcomes, highlight collaboration and clear communications, and explain why you want to grow with a profitable Berlin startup and your readiness to work onsite.
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 on modelling, experimentation, and user behaviour.
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
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.
#LI-DNI
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.