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A fast-growing tech startup in Greater London is seeking a Senior Data Scientist to improve their product and data capabilities. In this role, you will build and implement machine learning models, develop incentives and reward structures, and work closely with cross-functional teams to optimize user performance. The ideal candidate has experience in a product-focused environment, strong statistical knowledge, and proficiency in Python and SQL. Join a high-growth environment where your contributions will have a significant impact.
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.
We’re looking for a Senior Data Scientist to join our growing team in Berlin and help improve our product and data capabilities.
You’ll work hands-on with modelling and analytics to help the team understand user behaviour, optimise incentives, and build scalable, data-driven solutions.
Build and implement machine learning models that personalise recommendations and optimise user performance, engagement, and conversion
Develop and optimise incentives and reward structures to motivate and retain users while improving in-app ROAS
Collaborate with data analytics and engineering to improve data pipelines, visibility, and traceability
Contribute to technical best practices including documentation, measurement plans, and experimentation frameworks
Support KPI definition to ensure models, dashboards, and analyses have a clear purpose and measurable impact
Own individual projects and features from design to implementation
Collaborate closely with product managers, engineers, and other data scientists to integrate models and insights
Assist in refining architecture and processes to improve scalability and efficiency
Participate in technical discussions and contribute ideas for optimisation
Experience building and deploying machine learning models in a product-focused environment (Gaming, AdTech, or incentive-based systems preferred)
Strong statistical and modelling knowledge for experimentation, uplift modelling, and causal inference
Familiarity with modern data stacks and workflows (e.g., DBT, Airflow, Kubernetes)
Proficiency in Python and SQL, with experience on cloud platforms (GCP preferred)
Ability to collaborate effectively across teams and communicate technical concepts clearly
Hands‑on experience with ML pipelines, model deployment, or adtech systems
Exposure to payout, reward, or incentive systems
Passion for gaming, data‑driven experimentation, and automation
Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one.
High‑Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar.
Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued.
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.