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Developer python • rudersdorf bei berlin

Zuletzt aktualisiert: vor 5 Tagen
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Applied Scientist

Applied Scientist

Amazon.comNeuenhagen bei Berlin, DE
At Audible, we believe stories have the power to transform lives.It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global liste...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
Electrical engineer for grid stability (system management) (f / m / d)

Electrical engineer for grid stability (system management) (f / m / d)

50HertzNeuenhagen, BB, DE
Erstellung der Anforderungsprofile von IT-Systemen für Betriebsplanung und Echtzeitbetrieb,.Mitwirkung in Projekten zur Umsetzung von Tools / Applikationen zur Überwachung der Stabilitätsgrenzen des ...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
Full Stack C# / .Net Developer (m / f / d)

Full Stack C# / .Net Developer (m / f / d)

BUERO LERSCHStrausberg, Brandenburg, DE
Über uns Wir sind ein Tech-Startup im SAAS Bereich mit echten Projekten, echter Verantwortung – und echten Freiheiten.Bei uns schraubst du nicht an Legacy-Code rum, sondern baust moderne Webanwendu...Mehr anzeigenZuletzt aktualisiert: vor 20 Tagen
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(Senior) DevSecOps Engineer (gn)

(Senior) DevSecOps Engineer (gn)

krisenchat gGmbHSchöneiche bei Berlin, Germany
Deep understanding of IT infrastructure and system architecture.Experience in design, implementation, and improvement of existing cloud architectures. Knowledge about modern security threats and bes...Mehr anzeigenZuletzt aktualisiert: vor 5 Tagen
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Process Automation Developer (m / w / d) RPA

Process Automation Developer (m / w / d) RPA

ING DeutschlandSchöneiche bei Berlin, Germany
Fundierte Kenntnisse in der Entwicklung von RPA-Skripten, bestenfalls mit Automation Anywhere oder der Anwendung von Outsystems. Idealerweise Erfahrung im Bankenumfeld sowie ein gutes Verstndnis fr ...Mehr anzeigenZuletzt aktualisiert: vor 22 Tagen
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Technischer Online Marketing Manager (m / f / x)

Technischer Online Marketing Manager (m / f / x)

LUMAS Art Editions GmbHSchöneiche bei Berlin, Germany
Kenntnisse in JavaScript, SQL und API Integration / Management.Erfahrungen im E-Commerce oder SEA / technischen SEO / Social Media Werbung. Kenntnis ber gngige Online-Tracking Tools, wie Google oder Faceb...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Full Stack / Mobile Developer (m / w / d)

Full Stack / Mobile Developer (m / w / d)

abilex GmbHSchöneiche bei Berlin, Germany
Hochschulstudium in der IT oder eine hnliche Ausbildung / Werdegang.Berufserfahrung im Mobile App Development (insbesondere mit Android / Kotlin). Kenntnisse und Erfahrungen im Bereich der Testautomatis...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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System Engineer / Architect Automatisierung (w / m / d)

System Engineer / Architect Automatisierung (w / m / d)

50Hertz Transmission GmbHNeuenhagen bei Berlin, DE
Ich übernehme die Verantwortung für die durchgehende Automatisierung der On-Prem-Infrastruktur bei 50Hertz.Das macht den Job für mich interessant : . Als Innovationstreiber in der Energiebranche bring...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Manager - Digital Manufacturing (f / m / d)

Manager - Digital Manufacturing (f / m / d)

Rolls RoyceStrausberg, DE
Job Description We are looking for a dynamic and forward-thinking individual for the role as Digital Manufacturing Manager (f / m / d)...Mehr anzeigenZuletzt aktualisiert: vor 5 Tagen
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Applied Scientist

Applied Scientist

Amazon.comNeuenhagen bei Berlin, DE
Vor 30+ Tagen
Stellenbeschreibung

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE

In this role, you'll employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms. You'll leverage these technologies to analyze complex patterns in transaction data, identify anomalies, and create predictive models that can anticipate potential fraud before it occurs. Your work will be crucial in safeguarding the company's assets, protecting customers from financial harm, and maintaining the integrity of our systems. You'll translate intricate fraud patterns into actionable insights, enabling rapid response to emerging threats and informing critical business decisions related to risk management. You'll operate in an agile environment in which we own and collaborate on the life cycle of research, design, and model development of relevant projects.

As an Applied Scientist, you will...

  • Protect Audible’s customers and content creators against the onslaught of AI-generated fraud
  • Develop Amazon-scale data engineering & modeling pipelines
  • Imagine and invent before the business asks, and create groundbreaking fraud detection and mitigation solutions using cutting-edge approaches
  • Work closely with other data scientists, ML experts, engineers as well as business across the globe, and on cross-disciplinary efforts with other scientists within Amazon
  • Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from others

ABOUT AUDIBLE

Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

BASIC QUALIFICATIONS

  • MS in one of the following disciplines : Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field +5 yrs relevant experience; or PhD
  • Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages
  • Experience in algorithm development
  • Depth and breadth in state-of-the-art machine learning technologies
  • Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
  • Big Data Engineering with Spark / AWS EMR & Glue
  • PREFERRED QUALIFICATIONS

  • Domain knowledge of comparable products (digital, retail)
  • Publications at top-tier peer-reviewed conferences or journals in one of those areas (natural language processing / understanding, deep learning, machine learning, or speech processing)
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art
  • 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.