20 beste Stellen als scientist (m/f/d) in berlin – aktuell auf Personalsuche

Data Scientist/ML Engineer (m/f/d)
WebMD —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
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
Staff ML Research Scientist (m/f/d)
adjoe —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Python
Direkt bewerben
Data Scientist (m/f/d) - Sales Forecasting & Pricing
home24 SE —Berlin
- Vollzeit
- Hybrides Arbeiten
- SQL
- AWS
- Machine Learning
- Homeoffice-Möglichkeit
Data Scientist - AI & Experimentation (m/f/d)
Pflegia —Berlin
- 42.000 € – 75.000 € pro Jahr
- Homeoffice
- Master
- AWS
- Künstliche Intelligenz
- Homeoffice-Möglichkeit
Direkt bewerben
23 Std.
Senior Scientist Specialized Nutrition/ Powder Blend (m/f/d)
ADM —Berlin
- Projektmanagement
- Mit Reiseanteil
- Führungserfahrung
Senior Marketing Scientist (d/f/m)
Taxfix —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design
Pfizer —Berlin
- Online-Bewerbung
- Informatik
- Forschungserfahrung
- AWS
Data Scientist (m/f/d)
Kayzen —Berlin
- Homeoffice
- Machine Learning
- APIs
- Python
Direkt bewerben
5 Tage
Senior Software Engineer (m/f/d)
Sonova —Berlin
- Azure
- DevOps
- Master
Senior Data Scientist (m/f/d)
Flix SE —Berlin
- Doktorat
- Master
- SQL
19 Std.
Senior Data Scientist (f/m/d)
Moss —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Python
Software Engineer (m/f/d)
Sonova —Berlin
- Azure
- DevOps
- Master
Senior Data Scientist - Geocoding (d/f/m)
Bettermile —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Python
- Homeoffice-Möglichkeit
IT Systems Engineer (f/m/d)
Focused —Berlin
- Vollzeit
- Management-Erfahrung
- Englisch
- Windows
Senior ML Research Scientist – AI & Generative Recommendation (m/f/d)
adjoe —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
Senior Data Scientist (m/f/d)
Flix —Berlin
- Doktorat
- Master
- SQL
Direkt bewerben
22 Std.
Team Lead (f/m/d) Data Science
PAIR Finance GmbH —Berlin
- 97.500 € – 130.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Schreibfähigkeiten
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
Head of Analytics and Data Science (f/m/d)
Zenjob —Berlin
- Vollzeit
- Hybrides Arbeiten
- Künstliche Intelligenz
- Führungserfahrung
Direkt bewerben
PhD student position (f/m/d) K 18/26
Leibniz-Institut für Kristallzüchtung —Berlin
- Teilzeit
- Master
- Python
- Flexible Arbeitszeiten
Direkt bewerben
1 Tag

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scientist (m/f/d) jobs near berlin

Data Scientist/ML Engineer (m/f/d)

WebMD -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Cloud-Infrastruktur
NumPy
Master
SQL
Pandas
AWS
Docker
Machine Learning
Computerlinguistik
Python

Vollständige Stellenbeschreibung

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Data Scientist / Machine Learning Engineer (m/f/d)

As a Data Scientist / Machine Learning Engineer (m/f/d) you are responsible for developing end-to-end machine learning solutions that transform complex, unstructured data into actionable business insights. You work across the full ML lifecycle, from data acquisition and experimentation to production deployment, with a focus on NLP, document intelligence, LLM-powered applications, and predictive analytics.

You decide where you work: Germany-wide from your home office, at one of our locations in Constance or Munich, or in a hybrid setup.

WHAT YOU CAN EXPECT

As a Data Scientist, you design and implement data-driven solutions that solve real-world business problems. You develop automated ML pipelines, build robust data processing workflows, and evaluate model performance using quantitative experimentation.

You collaborate closely with Data Engineering, Product, and Business teams to deliver production-ready machine learning systems and communicate technical findings to both technical and non-technical stakeholders.

You are responsible for:

Designing end-to-end machine learning pipelines from proof of concept to production.
Building document intelligence and information extraction systems using modern LLMs.
Developing automated data processing workflows for structured and unstructured datasets.
Designing evaluation frameworks and statistical experiments to measure model performance.
Performing structured error analysis to identify model limitations and improve solution quality.
Supporting AI adoption by integrating state-of-the-art generative AI technologies into business workflows.
Collaborating with cross-functional teams and industry partners to deliver measurable business impact.

WHAT YOU BRING TO THE TABLE

4+ years of professional experience as a Data Scientist or Machine Learning Engineer.
Excellent Python programming skills with experience using Pandas, NumPy, Scikit-learn, and modern ML tooling.
Experience building production-ready machine learning pipelines using LLMs, NLP, computer vision, or predictive modelling.
Hands-on experience with GPT models, document intelligence, OCR pipelines, and structured information extraction.
Strong experience designing model evaluation frameworks, statistical analysis, and experiment design.
Experience working with cloud infrastructure (AWS), containerised deployments, and production ML workflows.
Solid SQL and data engineering skills with experience processing large-scale structured and unstructured datasets.
Experience communicating technical results to business stakeholders and collaborating with multidisciplinary teams.
Strong problem-solving skills with a pragmatic, customer-focused mindset.

NICE TO HAVE

Experience with Retrieval-Augmented Generation (RAG) systems.
Experience with computer vision or speech recognition applications.
Experience using Pydantic, ONNX, Docker, and modern LLM frameworks.
Experience working with healthcare or industry data.

WHAT WE OFFER

Flexible remote and hybrid working options.
Opportunities to build production AI systems with real business impact.
Cross-functional collaboration with experts in Data Science, Engineering, and Product.
Modern cloud infrastructure and access to state-of-the-art AI technologies.
Strong focus on innovation, experimentation, and continuous learning.

Direkt bewerben

Erweiterte Suche

scientist (m/f/d) Jobs in berlin

Data Scientist/ML Engineer (m/f/d)

Senior Data Scientist (f/m/d)

Staff ML Research Scientist (m/f/d)

Data Scientist (m/f/d) - Sales Forecasting & Pricing

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

Senior Scientist Specialized Nutrition/ Powder Blend (m/f/d)

Senior Marketing Scientist (d/f/m)

Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design

Data Scientist (m/f/d)

Senior Software Engineer (m/f/d)

Senior Data Scientist (m/f/d)

Senior Data Scientist (f/m/d)

Software Engineer (m/f/d)

Senior Data Scientist - Geocoding (d/f/m)

IT Systems Engineer (f/m/d)

Senior ML Research Scientist – AI & Generative Recommendation (m/f/d)

Senior Data Scientist (m/f/d)

Team Lead (f/m/d) Data Science

Head of Analytics and Data Science (f/m/d)

PhD student position (f/m/d) K 18/26

Ich möchte aktuelle Job-E-Mails für Stellen als scientist (m/f/d) in berlin erhalten

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Data Scientist / Machine Learning Engineer (m/f/d)

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