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

Data Scientist - AI & Experimentation (m/f/d)
Pflegia —Berlin
- 42.000 € – 75.000 € pro Jahr
- Homeoffice
- Master
- AWS
- Künstliche Intelligenz
- Homeoffice-Möglichkeit
Direkt bewerben
16 Std.
Applied Scientist, EU International Technologies
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Java
- Master
- C++
Applied Scientist, Amazon Robotics R&D
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
Senior Data Scientist (m/f/d)
Flix SE —Berlin
- Doktorat
- Master
- SQL
12 Std.
Senior Consultant / Manager (Gen) AI & Data Scientist | AI Garage (w/m/d)
Capgemini —Berlin
- Online-Bewerbung
- Englisch
- Analysefähigkeit
- Machine Learning
Senior Data Scientist (m/f/d)
Flix —Berlin
- Doktorat
- Master
- SQL
Direkt bewerben
15 Std.
Postdoctoral Scientist, Amazon Robotics R&D
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- C++
(Senior) Experte HR Data Analytics (m/w/d)
Deloitte GmbH —Berlin
- Online-Bewerbung
- Master
- Hochschulreife
- SQL
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Senior Machine Learning Engineer I
Sumup —Berlin
- Azure
- Informatik
- Wartung
- Umzugskostenzuschuss
- Empfehlungsprogramm
AI Infrastructure Engineer
Intercom —Berlin
- Hybrides Arbeiten
- Informatik
- Java
- Master
- Homeoffice-Möglichkeit
Data Platform Engineer (Mid-Level) (m/f/d)
Flix —Berlin
- Bereitschaftsdienst
- SQL
- AWS
- Python
Direkt bewerben
Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Doktorat
- Informatik
Data Scientists* | Data-Driven Strategy
Valentum Engineering GmbH —Berlin
- Englisch
- Python
- Weiterbildungsprogramme
12 Tage
Data Scientist | Data Engineer (m/w/d) – Rating
Sparkassen Rating und Risikosysteme GmbH —Berlin
- Hybrides Arbeiten
- Informatik
- Master
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Direkt bewerben
2 Std.
AI-Engineer - Qlik (alle Geschlechter)
EBK Gruppe —Berlin
- 50.000 € – 100.000 € pro Jahr
- Vollzeit
- Englisch
- SQL
- AWS
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Forward Deployed Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Informatik
- Master
Senior AI Engineer (m/f/d)
Artefact —Berlin
- Vollzeit
- Azure
- Informatik
- Kundenberatung
- Flexible Arbeitszeiten
7 Tage
Manager, Data Science, Dynamic Promo - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Python
Direkt bewerben
3 Tage
Founding Forward Deployed Engineer
Kuro Technology —Berlin
- 72.000 € – 100.000 € pro Jahr
- Vollzeit
- Azure
- Master
- AWS
Direkt bewerben
Growth Engineer
Topoteretes UG (haftungsbeschränkt) —Berlin
- 60.000 € – 75.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Master
- APIs
- Python
Direkt bewerben

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Data Scientist - AI & Experimentation (m/f/d)

Pflegia -
Berlin

Direkt bewerben

Details zur Stelle

42.000 € – 75.000 € pro Jahr
vor 16 Stunden

Leistungen

Homeoffice-Möglichkeit

Qualifikationen

Jira
NumPy
E-Commerce
Master
AWS
Physik
A/B-Test
Künstliche Intelligenz
Python
Marketing

Vollständige Stellenbeschreibung

At Pflegia we are building and operating an innovative job-matching platform, which intelligently brings together caregivers and healthcare employers. Our vision is to become Europe's leading job platform for nursing professions and to fight the nursing crisis! Become part of the team and shape the nursing job market together with us!

About the Role

We're looking for a Data Scientist who treats AI as a working tool, not a buzzword. You'll sit at the intersection of statistics, machine learning, and product: building predictive models, improving our LLM- and RAG-based systems, and running experiments that directly shape how our platform matches supply and demand. Your work won't end at a slide deck. You'll define the metrics, ship the analysis, and follow through until the impact shows up in the numbers.

Tasks

Build, validate, and ship statistical and predictive models that directly inform pricing, matching, and growth decisions
Develop and improve LLM-powered features, from retrieval-augmented generation (RAG) pipelines to applications of new AI technologies that open up product innovation
Own the reliability of our AI features: design prompt and evaluation workflows, measure output quality, and catch regressions before users do
Turn open questions into testable hypotheses and design experiments (e.g., A/B tests) that give clear, decision-ready answers
Dig into funnels and user journeys to find drop-offs and friction points, and quantify where supply and demand can be better matched
Team up with performance marketing to sharpen targeting, attribution, and campaign efficiency with data
Define the KPIs that matter, build the dashboards and monitoring behind them (AWS QuickSight), and make business impact visible and measurable
Keep your work transparent and traceable: document, prioritize, and communicate progress in Jira across product, engineering, and marketing
Present findings to stakeholders as concrete recommendations, then stay involved until they're implemented

Requirements

You love to work with data: explore it, model it, improve its quality.
Deep grounding in statistics: you know which method fits which problem and can defend your assumptions, not just run the library defaults
Fluent in Python (pandas, scikit-learn, NumPy) and SQL, with a track record of applying them to real business problems rather than toy datasets
Hands-on experience taking ML and modern AI techniques from idea to a working solution that someone actually uses
Practical experience with LLMs and RAG systems in production or near-production settings, including prompting, retrieval quality, and output evaluation
Solid command of A/B testing: sample sizing, significance, common pitfalls, and knowing when an experiment is the wrong tool
Working knowledge of performance marketing concepts such as CAC, ROAS, and attribution logic
Project experience in at least one of: anomaly detection, trend analysis, marketing mix modeling, or multi-touch attribution
Background in e-commerce, marketplaces, or other platform-based businesses, ideally with exposure to supply and demand dynamics
Bonus: degree in mathematics, statistics, physics, computer science, or a related quantitative field

Benefits

Flat hierarchies with short decision-making paths (start-up mentality) and an open corporate culture with helpful & communicative colleagues
Regular feedback conversations
A pleasant workplace (open-plan office centrally located in Berlin-Mitte) with home office option
A very nice and cooperative working atmosphere
Free drinks

Sound like you? Send us your CV and a short note on the most interesting model or experiment you've shipped recently.

Direkt bewerben

Erweiterte Suche

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

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