15 beste Stellen als data scientist in teltow, bb – aktuell auf Personalsuche

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- Master
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Senior Marketing Scientist (d/f/m)
Taxfix —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- Künstliche Intelligenz
- Flexible Arbeitszeiten
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Principal AI/ML Scientist & Engineer
Pipedrive —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Künstliche Intelligenz
- Umzugskostenzuschuss
- Flexible Arbeitszeiten
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Senior Data Scientist, Consumer Core Analytics
Wolt - English —Berlin
- SQL
- Künstliche Intelligenz
- Python
Direkt bewerben
7 Tage
Senior Scientist Chemistry
Idorsia Pharmaceuticals Ltd. —Berlin
- Management-Erfahrung
- Doktorat
Staff Data Scientist, Dmarts - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Künstliche Intelligenz
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2 Tage
Founding Forward Deployed Engineer
Kuro Technology —Berlin
- 72.000 € – 100.000 € pro Jahr
- Vollzeit
- Azure
- Master
- AWS
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Data Scientists* | Data-Driven Strategy
Valentum Engineering GmbH —Berlin
- Englisch
- Python
- Weiterbildungsprogramme
6 Tage
Senior Applied Scientist, AWS Developer Tools Science
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
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1 Std.
(Senior) Applied Scientist, Search
Wolt - English —Berlin
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Principal Decision Scientist - Marketing
Pipedrive —Berlin
- Vollzeit
- Hybrides Arbeiten
- Künstliche Intelligenz
- Führungserfahrung
- Python
- Umzugskostenzuschuss
- Flexible Arbeitszeiten
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Applied Scientist, EU International Technologies

Amazon Development Center Germany GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Java
Master
C++
Machine Learning
Computerlinguistik
A/B-Test
Python

Vollständige Stellenbeschreibung

DESCRIPTION

As an Applied Scientist on this team, you will take on a key role in improving capabilities of the Amazon product search service, and ensure we offer top-quality recommendations for all our customers regardless of their location or language. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing components to improve query understanding, ranking of search results, and personalization - all covering a wide range of languages.

This is a rewarding role where you will be able to draw a clear connection between your work and how it improves the experience of millions of Amazon customers across the globe every day. You can also expect to have excellent opportunities, and ample support, for career growth, development, and mentorship.

Key job responsibilities

Analyze the data and metrics resulting from traffic into Amazon's product search service
Design, build, and deploy effective and innovative ML solutions to improve various components of the search stack, query understanding, ranking, and personalization.
Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production
Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR

A day in the life
You will propose and explore publication-worthy innovation using ML/NLP/IR techniques, build ML models trained on terabytes of data, which are evaluated using both offline metrics as well as online metrics via A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.

About the team
EU International Technologies is an organization focused on accelerating the EU Stores business by delighting customers and selling partners. The team's mission is to innovate locally and scale worldwide, fostering a world-class community of builders that delivers with speed and agility. EU INTech operates across domains including consumer discovery, search, selection, partner growth, pricing, sustainability, and marketplace expansion. The culture emphasizes collaboration, inclusion, technical excellence, big bets on high-impact projects, transparency, and long-term ownership - empowering engineers and scientists to solve complex problems at international scale.

BASIC QUALIFICATIONS

Experience programming in Java, C++, Python or related language
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Fluency in written and spoken English (German is not required)

PREFERRED QUALIFICATIONS

Experience implementing algorithms using both toolkits and self-developed code
Have publications at top-tier peer-reviewed conferences or journals
Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields
1+ years of post-Master's hands-on experience (academic or industrial) building ML models
Fluency in one or more languages other than English

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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