Almedia

Data Scientist

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

Berlin, On-site
Top-of-Market Compensation - Exceptional commitment deserves exceptional reward

Most data scientists transition from research or academic work to production starting with dashboards and historical reporting. Here, you'll ship models that run live and shape what millions of users see every day. You'll take the rigor you've built in research and apply it to problems at scale. Your first 12 months compress what takes 3 years elsewhere.
You'll join a small team of people who have built and shipped ML systems at scale. You'll work on real problems from week one with the support to solve them. Show us you can own more, and we'll give you more.

What You'll Do
Build and ship models that predict user value, engagement, and reward behaviour. See them live in production.

Design and run A/B tests on offers, rewards, and ranking. Work out what actually caused the result through causal reasoning.

Build data infrastructure and measurement systems that let you reason rigorously about impact.

Own undefined product problems from first idea to production. No playbook. You own it all.

What You'll Bring
Strong Python and SQL. You use AI tools to move faster, and you still verify the output.

Research or academic background with proof of depth: published work, thesis, strong coursework, or competition results.

You get going on a vague problem without waiting for a spec, and you take it further than you were asked.

You quickly see which number matters and which question to answer first.

You think in causation and testable hypotheses. You debug rigorously when things break.

Bonus: Kaggle competition results, published papers, thesis work, or a system you built and hardened yourself.

Why Almedia
Grow at Almedia: profitable from launch, higher revenue per employee than Big Tech.

Sharp, small team: we keep it small on purpose, every hire raises the bar.

Equity: every Berlin employee gets a stake.

Top-of-market baseline. Deliver outlier impact, earn accordingly.

Small team, high bar. Growing at scale. If that sounds like home, apply.

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.
Compensation: €80K – €150K • Exceptional commitment deserves exceptional reward
• €80K – €150K • Exceptional commitment deserves exceptional reward
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Python Data Scientist Technology Mid level full-time

Likely questions

  1. Tell us about work you have done that is close to the Data Scientist role.
  2. How would you approach your first 30 days at Almedia?
  3. Which of Python, Data and Scientist have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Python, Data and Scientist.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Scientist role because I can bring practical experience in Python, Data and Scientist, learn the team quickly, and contribute to the outcomes Almedia needs from this hire.

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