20 beste Stellen als data scientist – aktuell auf Personalsuche

Founding Data Scientist
Almedia —Berlin
- 90.000 € – 170.000 € pro Jahr
- Vollzeit
- Master
- SQL
- Python
Data Scientist
Reflow —Berlin
- Vollzeit
- Homeoffice
- SQL
- Machine Learning
- Führungserfahrung
Direkt bewerben
Data Scientist (alle Geschlechter)
Nextcoder Softwareentwicklungs UG —Berlin
- Vollzeit
- Machine Learning
- JavaScript
- Produktion
- Homeoffice-Möglichkeit
Data Scientist
DEVnet Holding —Hamburg
- 60.000 € – 80.000 € pro Jahr
- Informatik
- Machine Learning
- Mit Reiseanteil
Archon Labs - Data Scientist
deCircle —Berlin
- Vollzeit
- Homeoffice
- Keine Berufserfahrung erforderlich
- Bachelor
- Machine Learning
Direkt bewerben
Scientist (m/f/d) – Biology Department / Bioanalytical Sciences (Full-time)
PROLYTIC —Frankfurt am Main
- Vollzeit
- Schreibfähigkeiten
- Master
- Bachelor
- Gleitzeit
DATA SCIENTIST (M/F/D)
AI.Associates GmbH —Stuttgart
- Informatik
- Microsoft Office
- Bachelor
Data Scientist-Jr
General Dynamics Information Technology —Stuttgart
- 102.000 € – 138.000 € pro Jahr
- Informatik
- SQL
- Bachelor
- Kostenbeteiligung am Arbeitsweg
7 Tage
Data Scientist/ML Engineer (m/f/d)
WebMD —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
Senior Data Scientist (m/f/x)
Makersite GmbH —Berlin
- 80.000 € – 100.000 € pro Jahr
- Vollzeit
- Homeoffice
- Microsoft Excel
- Azure
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Data Scientist (all genders)
JustPlay GmbH —Berlin
- Vollzeit
- Homeoffice
- SQL
- AWS
- Projektmanagement
- Umzugskostenzuschuss
- Flexible Arbeitszeiten
Direkt bewerben
Senior Data Scientist (f/m/d)
PAIR Finance GmbH —Berlin
- 76.000 € – 103.500 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Schreibfähigkeiten
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
7 Tage
Fraud Data Scientist
Billie —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- Machine Learning
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Principal Machine Learning Scientist (all genders)
Bayer —Berlin
- 104.300 € – 126.500 € pro Jahr
- Teilzeit
- Doktorat
- Machine Learning
- Künstliche Intelligenz
Data Scientist (m/f/x)
FINN —Home Office
- 69.000 € – 80.000 € pro Jahr
- Vollzeit
- Homeoffice
- Doktorat
- Master
- SQL
Direkt bewerben
Applied Scientist (all genders) - B2B Data Science and Algorithms
Zalando —Berlin
- Vollzeit
- Master
- SQL
- Machine Learning
AI Data Scientist (m/f/d)
BayWa r.e. Solar Energy Systems GmbH —Tübingen
- Vollzeit
- Informatik
- Vertrieb
- Datenanalyse
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
AI Research Scientist/Engineer (f/m/d)
SonarSource —Bochum
- 90.000 € – 160.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
Data Scientist (m/f/x)
Atolls —Berlin
- Hybrides Arbeiten
- SQL
- Python
Scientist (f/m/d) surface science and optical metrology technologies
European X-Ray Free-Electron Laser Facility GmbH —Schenefeld
- 4.901,70 € – 7.025,87 € pro Monat
- Vollzeit
- Doktorat
- Englisch
- Mit Reiseanteil
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
12 Tage

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Founding Data Scientist

Almedia
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
90.000 € – 170.000 € pro Jahr

Qualifikationen

Preisgestaltung
Master
SQL
C
Python

Vollständige Stellenbeschreibung

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

Founding Data Scientist

€90K – €170K • Offers Equity • Offers Bonus

We're looking for a Founding Data Scientist to work directly with leadership on zero-to-one measurement and growth problems. This is not a role for maintaining existing systems — it's for someone who can take an ambiguous, high-stakes question and build the data infrastructure to answer it reliably, then own what comes next.

We value people who combine measurement rigour with builder instincts: someone equally comfortable designing a causal experiment and shipping the pipeline that operationalises its output.

What You'll Do

Own incrementality testing across marketing, product, and rewards — proving its value from hypothesis to business impact.
Build the data pipelines and measurement stack behind it, tying experiments to real shifts in user behaviour, monetisation, and multi-touch attribution.
Drive experimentation strategy across growth and product: design, run, and interpret tests with a sharp focus on causal validity — not just p-values.
Own data products end-to-end: scoping, architecture, implementation, rollout.
Partner with C-level, engineering, and business stakeholders to turn measurement into live operational decisions.
Set the frameworks and practices the team can scale on.

What You Need

Deep expertise applying causal inference and experimental design in practice, in real business contexts.
Hands-on experience building and operationalising attribution models in a real business context — not just running models, but making them useful.
Proven zero-to-one experience: ambiguous problem, built the infrastructure, shipped something production-ready.
Proficiency in Python and SQL; GCP preferred; comfortable with modern data stack tools (dbt).
Experience with programmatic advertising, ML pricing, or mobile measurement — MMPs, probabilistic attribution, or similar is a strong plus.
Familiarity with AI and LLM tooling is a plus — whether that's integrating language models into data workflows, using AI-assisted analysis to move faster, or exploring how generative and predictive AI can sharpen measurement and personalisation at scale. We're an AI-native team and expect this role to grow alongside those capabilities.

You Are

A builder with a strong ownership mindset — you don't wait for a spec.
Rigorous but pragmatic: the stats matter, but the business question matters more.
Someone who, if they have to debug something twice, automates it.
A clear communicator — you can translate model outputs into decisions that non-technical stakeholders can act on.

Why Almedia?

Own Our Growth: Competitive package with meaningful equity.
High Impact: Work on company-defining projects, not tickets in a queue.
Scale With Almedia: Join a profitable, high-growth startup early.
Great Environment: Central Berlin office, transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.

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 Range: €90K - €170K

Jetzt bewerben

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