Junior 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 models that predict user value, engagement and reward behaviour
Run A/B tests on offers, rewards and ranking to find what caused results
Build and fix the data pipelines your models depend on
Take new problems from first idea to production
From the employer’s posting
Build models that predict user value, engagement and reward behaviour
Run A/B tests on offers, rewards and ranking, and work out what actually caused the result
Build and fix the data pipelines your models depend on
Take on new problems with no playbook yet, from first idea to production
What you’ll bring
All qualificationsCore experience
- Strong Python and SQL
- Use AI tools while checking their output
- Work on vague problems without waiting for a spec
- Proof of going past good enough on a project or result
Preferred experience
- Strong result in a Kaggle challenge, hackathon or competition
- A system you built and fixed yourself when it broke
Qualification wording
Strong Python and SQL
You use AI tools to move faster, and you still check the output
You get going on a vague problem without waiting for a spec
Proof that you aim high: a project, result or choice where you went past "good enough" when nobody asked you to
a strong result in a Kaggle challenge, hackathon or competition
a system you built and fixed yourself when it broke
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 check the output - You get going on a vague problem without waiting for a spec, and you take it further than you were asked
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 12 days ago
- Recorded sightings
- 9
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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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
€60K – €85K + Equity
Most Junior Data Scientists spend their first years building dashboards and reporting on what already happened. Here, you'll work on models that run in production and shape what millions of users see every day.
You'll join a small team of people who have built and shipped ML systems at scale, and learn from them directly. You get real problems from week one, and the support to solve them. Show us you can own more, and we'll give you more.
What You'll Do 🎯
Build models that predict user value, engagement and reward behaviour, and see them live in our product
Run A/B tests on offers, rewards and ranking, and work out what actually caused the result
Build and fix the data pipelines your models depend on
Take on new problems with no playbook yet, from first idea to production
What You'll Bring 💡
Strong Python and SQL. You use AI tools to move faster, and you still check the output
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
Proof that you aim high: a project, result or choice where you went past "good enough" when nobody asked you to
Bonus: a strong result in a Kaggle challenge, hackathon or competition, or a system you built and fixed yourself when it broke
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 €60K – €85K + Equity Most Junior Data Scientists spend their first years building dashboards and reporting on what already happened. Here, you'll work on models that run in production and shape what millions of users see every day.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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