Staff Data Scientist

Staff Data Scientist

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
ALmedia

At a Glance

  • Tasks: Design and implement machine learning models to enhance user engagement and optimise performance.
  • Company: Join Almedia, Europe's #3 fastest-growing company, aiming for unicorn status.
  • Benefits: Generous bonuses, career growth opportunities, and a dynamic work environment.
  • Other info: Embrace diversity and join a team that values talent and innovation.
  • Why this job: Make a real impact in a high-speed, high-ownership culture with ambitious colleagues.
  • Qualifications: Experience in machine learning, strong statistical knowledge, and excellent communication skills.

The predicted salary is between 63000 - 77000 £ per year.

Join to apply for the Staff Data Scientist role at Almedia. 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 50 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 Staff Data Scientist to join our growing team in Berlin and help shape the next stage of our product and data capabilities.

What You’ll Work On:

  • Design and implementation of machine learning models which personalise recommendations for users, whilst optimising for performance, engagement and conversion within gaming user acquisition.
  • Build and optimise our incentives reward structures focusing on motivating and retaining users whilst improving in-app ROAS.
  • Collaborate with data analytics and engineering to improve data structures, visibility, and traceability.
  • Establish technical best practices for the team, including documentation, data product ownership, measurement plans, and experimentation frameworks.
  • Define and help implement KPIs that align team output with business goals, ensuring every model, dashboard, and analysis has a purpose and outcome.
  • Mentor and support both data scientists and analytics engineers, driving high standards and helping the team scale effectively.

What We’re Looking For:

  • Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems.
  • Deep statistical and modelling knowledge for complex experimentation design, uplift modelling and causal impact estimation of counterfactual outcomes.
  • Strong understanding of data engineering workflows and modern data stack tools (e.g. DBT, Airflow, K8s).
  • Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board.

Why Almedia:

  • 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.

Staff Data Scientist employer: ALmedia

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ALmedia

Contact Details:

ALmedia Recruitment Team

We think you need these skills to ace Staff Data Scientist

Machine Learning
Statistical Modelling
Experimentation Design
Uplift Modelling
Causal Impact Estimation
Data Engineering Workflows
DBT