Data Scientist

Almedia

Berlin

On-site

EUR 90,000 - 120,000

Full time

10 days ago

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Benefits offered by this job

Top compensation
Equity
Small team
Growth opportunities

Job summary

Almedia in Berlin is seeking a data scientist to build live ML models that influence millions of users. You’ll ship production‑grade models, design A/B tests, and create data infrastructure to measure business impact from day one.

Strong Python and SQL skills plus a research background are required. You’ll join a small, fast‑moving team where ownership is rewarded with substantial equity and top‑tier compensation.

Qualifications

  • Strong Python and SQL programming skills and the ability to use AI tools to accelerate work while verifying outputs.
  • Research or academic background with evidence of depth: published work, thesis, rigorous coursework, or competition results.

Responsibilities

  • Build and ship ML models that run in production affecting millions of users.
  • Design and run A/B tests on offers, rewards, and ranking; reason about results with causal thinking.
  • Develop data infrastructure and measurement systems to enable rigorous impact analysis.
  • Own undefined product problems from idea to production with minimal playbooks.

Skills

Python
SQL
AI tools
Causal reasoning

Education

Research or academic background

Tools

Kaggle

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 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.

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,

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