20 beste Stellen als sport data scientist in berlin – aktuell auf Personalsuche

Founding Data Scientist
Almedia —Berlin
- 90.000 € – 170.000 € pro Jahr
- Vollzeit
- Master
Data Scientist (m/w/d)
Verti Versicherung AG —Berlin
- Teilzeit
- Hybrides Arbeiten
- Datenanalyse
- Machine Learning
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Direkt bewerben
Wissenschaftliche Mitarbeiterin / Wissenschaftlicher Mitarbeiter (d/w/m) - Data Scientist Medizinische Klimafolgenforschung
Charité —Berlin-Mitte
- Teilzeit
- Doktorat
- Informatik
- Datenanalyse
- Weiterbildungsprogramme
1 Tag
Senior Data Scientist Public Sector (w/m/d)
Capgemini Sogeti —Berlin
- Per E-Mail
- Informatik
- Master
- SQL
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Informatik
- Datenanalyse
- Java
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
Associate Supply Chain Scientist (d/f/m)
4flow SE —Berlin
- Vollzeit
- Master
- Employee Assistance Program
- Flexible Arbeitszeiten
SENIOR DATA SCIENTIST (M/W/D)
Reply —Berlin
- Hybrides Arbeiten
- Azure
- Master
- SQL
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
10 Tage
Senior Data Scientist Defense (w/m/d)
Capgemini Sogeti —Berlin
- Doktorat
- Datenanalyse
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Senior Data Scientist/ML Engineer - Financial Crime
Sumup —Berlin
- Empfehlungsprogramm
Data Scientist Supply Chain Consulting (d/w/m)
4flow SE —Berlin
- Vollzeit
- Datenanalyse
- Master
- Mathematikkenntnisse
- Weiterbildungsprogramme
11 Tage
AI-Engineer - Qlik (alle Geschlechter)
EBK Gruppe —Berlin
- 50.000 € – 100.000 € pro Jahr
- Vollzeit
- Kundenberatung
- SQL
- AWS
- Homeoffice-Möglichkeit
Direkt bewerben
Data Engineer (f/m/d)
Climate Analytics —Berlin
- 4.363 € – 4.810 € pro Monat
- Vollzeit
- Informatik
- Master
- Bachelor
Direkt bewerben
11 Tage
Head of Scientific Modelling (all genders)
Klim GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Wirtschaft
- Führungserfahrung
Junior App Product Owner (all genders)
Sunday Natural Products GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
- Führungserfahrung
(Senior) Data Scientist - Physical AI & Computer Vision (all genders)
EXXETA —Berlin
- Qualitätskontrolle
- Mit Reiseanteil
- Homeoffice-Möglichkeit
(Senior) Data Scientist (all genders)
flaconi —Berlin
- 60.000 € – 80.000 € pro Jahr
- Flexible Arbeitszeiten
Direkt bewerben
7 Tage
Brand Designer (all genders)
Sunday Natural —Berlin
- Vollzeit
Junior App Product Owner (all genders)
Sunday Natural —Berlin
- Vollzeit
- Hybrides Arbeiten
- Führungserfahrung
Senior Technical Product Manager - Carbon and Environmental Models (all genders)
Klim GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
- Produktmanagement
- Kommunikationsfähigkeit
Brand Designer (all genders)
Sunday Natural Products GmbH —Berlin
- Vollzeit

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Founding Data Scientist

Almedia
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
90.000 € – 170.000 € pro Jahr

Qualifikationen

Master

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

Erweiterte Suche

sport data scientist Jobs in berlin

Founding Data Scientist

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Wissenschaftliche Mitarbeiterin / Wissenschaftlicher Mitarbeiter (d/w/m) - Data Scientist Medizinische Klimafolgenforschung

Senior Data Scientist Public Sector (w/m/d)

AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI

Associate Supply Chain Scientist (d/f/m)

SENIOR DATA SCIENTIST (M/W/D)

Senior Data Scientist Defense (w/m/d)

Senior Data Scientist/ML Engineer - Financial Crime

Data Scientist Supply Chain Consulting (d/w/m)

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Data Engineer (f/m/d)

Head of Scientific Modelling (all genders)

Junior App Product Owner (all genders)

(Senior) Data Scientist - Physical AI & Computer Vision (all genders)

(Senior) Data Scientist (all genders)

Brand Designer (all genders)

Junior App Product Owner (all genders)

Senior Technical Product Manager - Carbon and Environmental Models (all genders)

Brand Designer (all genders)

Ich möchte aktuelle Job-E-Mails für Stellen als sport data scientist in berlin erhalten

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