20 beste Stellen als engineer | focus data science & data in berlin, be – aktuell auf Personalsuche

Data Scientist/ML Engineer (m/f/d)
WebMD —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
Data Analytics Engineer (m/f/d)
adsquare GmbH —Berlin
- 60.000 € – 75.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Master
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
Data Team Lead (incl. GenAI) (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
Applied Scientist (all genders) - B2B Data Science and Algorithms
Zalando —Berlin
- Vollzeit
- Master
- SQL
- Machine Learning
Software Engineer | Focus Data Science & Data Management (w/m/d)
Kienbaum Consultants International GmbH —Berlin
- Teilzeit
- Azure
- Informatik
- Englisch
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
8 Tage
Software Engineer, Data Infrastructure & Acquisition - Berlin, Germany
Speechify —Berlin
- 30.000 € – 120.000 € pro Jahr
- Homeoffice
- Doktorat
- Informatik
- Master
3 Tage
Platform Engineer (m/f/d) (AI Startup)
Almetra —Berlin
- 70.000 € – 85.000 € pro Jahr
- Vollzeit
- DevOps
- AWS
- Produktion
- Flexible Arbeitszeiten
AI Engineer (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
(Senior) Data Engineer (m/f/d)
adsquare GmbH —Berlin
- 55.000 € – 65.000 € pro Jahr
- Vollzeit
- Java
- SQL
- AWS
Team Lead Data Science (f/m/x)
Enpal —Berlin
- Vollzeit
- Azure
- Informatik
- Forschungserfahrung
Direkt bewerben
Senior ML Engineer (f/m/x) - Computer Vision for Earth Observation
LiveEO GmbH —Berlin
- Überstunden
- Doktorat
- AWS
- Python
- Flexible Arbeitszeiten
Direkt bewerben
6 Tage
Data Architect (m/w/d) - Ramboll Tech
Ramboll —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Master
Direkt bewerben
Optical Measurement Systems Engineer (m/f/d)
Corning —Berlin
- Doktorat
- Datenanalyse
- Englisch
- Employee Assistance Program
Cyber Security Staff Engineer - Application Security
solarisBank AG —Berlin
- 85.000 € – 110.000 € pro Jahr
- Azure
- Informatik
- Java
13 Tage
Software Engineer (PL/SQL)
Avaloq —Berlin
- Vollzeit
- Hybrides Arbeiten
- Oracle
- Informatik
- Master
Direkt bewerben
Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- AWS
Software Assurance Engineer - Satellites
constellr GmbH —Berlin
- Vollzeit
- Homeoffice
- Informatik
- Bachelor
- Scripting
Direkt bewerben
Mission Control Engineer
constellr GmbH —Berlin
- Vollzeit
- Homeoffice
- Informatik
- Master
- C++
Direkt bewerben

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engineer | focus data science & data jobs near berlin, be

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

engineer | focus data science & data Jobs in berlin, be

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

Data Analytics Engineer (m/f/d)

Data Science Consultant - QuantumBlack, AI by McKinsey

Data Team Lead (incl. GenAI) (m/f/d)

Applied Scientist (all genders) - B2B Data Science and Algorithms

Software Engineer | Focus Data Science & Data Management (w/m/d)

Data Engineer (all genders)

Software Engineer, Data Infrastructure & Acquisition - Berlin, Germany

Platform Engineer (m/f/d) (AI Startup)

AI Engineer (m/f/d)

(Senior) Data Engineer (m/f/d)

Team Lead Data Science (f/m/x)

Senior ML Engineer (f/m/x) - Computer Vision for Earth Observation

Data Architect (m/w/d) - Ramboll Tech

Optical Measurement Systems Engineer (m/f/d)

Cyber Security Staff Engineer - Application Security

Software Engineer (PL/SQL)

Applied Scientist, Amazon Robotics

Software Assurance Engineer - Satellites

Mission Control Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als engineer | focus data science & data in berlin, be erhalten

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

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