Data Scientist
Berlin · Berlin, Germany
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Tech › Data › Data Science — team source
Department: Tech › Data › Data Science
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you now, or will you in the future require visa sponsorship to be legally employed in Germany? We can usually offer visa sponsorship, but it's helpful to know now so we can plan accordingly.
From the employer’s application form
What you’ll work on
Full postingBuild and ship models that predict user value, engagement and reward behaviour
Design and run A/B tests on offers, rewards and ranking
Work out what caused results using causal reasoning
Build data infrastructure and measurement systems to assess impact
Own undefined product problems from first idea to production
From the employer’s posting
Build and ship models that predict user value, engagement, and reward behaviour.
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.
What you’ll bring
All qualificationsCore experience
- Strong Python and SQL
- Research or academic background with proof of depth (publications, thesis, coursework or competitions)
- Thinks in causation and testable hypotheses
- Debugs rigorously when systems break
- Verifies AI tool output while using it to move faster
Qualification wording
Strong Python and SQL.
Research or academic background with proof of depth: published work, thesis, strong coursework, or competition results.
You think in causation and testable hypotheses.
You debug rigorously when things break.
You use AI tools to move faster, and you still verify the output.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 2026 · 22 days ago
- Recorded sightings
- 26
- Last seen by us
- Oct 29, 2026
- Reposted
- once since Jun 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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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
€80K – €150K + Equity
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
A small, selective team of very sharp people. We keep it small on purpose, so every hire raises the bar
Equity in Almedia. Every Berlin-based employee gets a stake, so you share in what you help build
Top-of-market pay as the baseline. Outlier impact gets paid accordingly
Small team, high bar. 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin, Germany
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 €80K – €150K + Equity 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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