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Data specialist • muhlenbecker land
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Applied Scientist
Amazon.comHennigsdorf, DE- Gesponsert
Data Engineer Data Warehouse & ETL (w / m / d)
ING DeutschlandHennigsdorf, GermanyCustodian / Facilities Specialist / Driver (Full-Time)
Chicago Youth CentersSidney Epstein Centerflexibler Super Springer gesucht - Kraftfahrer CE (m / w / d) für Berlin / BRB
LOCA-24 GmbHVelten, DEMaster Data Specialist (m / w / d)
ORAFOL Europe GmbHOranienburg, DEData Engineer (Remote)
TechBiz Global GmbHBernau, BB, DE- Gesponsert
Trainee Wirtschaftsingenieurwesen Regulierungsmanagement Big Data / SAP (m / w / d)
E.DIS Netz GmbHBernau bei Berlin, DESpecialist Regulatory Affairs (m / f / d)
Thermo Fisher ScientificHennigsdorf, Germany- Gesponsert
Head of Product (gn) - Data & KI Weiterbildungsprogramme
DSI Education GmbHOranienburg, GermanySteuerfachangestellte mit Schwerpunkt Jahresabschluss / FiBu (m / w / d) (Vollzeit / Teilzeit)
DBB DATA Steuerberatung GmbHOranienburg, Brandenburg, DeutschlandRegional Business Manager (gn) Biosimilar
Inizio Engage XDBrandenburgHead of Automation, Digital and Data Science (f / m / d)
TakedaOranienburg, GermanySpecialist Ordermanagement (m / w / d)
HaysBerlin (Hohenschönhausen)Betonschäden reparieren und ausbessern - Mudjack Specialist (teilzeit)
FixandoOberhavel, Brandenburg, DeutschlandJob Senior Specialist Application Engineering Operations (m / w / d)
Rheinmetall IT Solutions GmbHDüsseldorf, Neuenstadt, Berlin, Unterlüß, Kassel, KielAssistenz der Geschäftsführung (m / w / d)
Kelly ServicesHennigsdorf, Brandenburg, DeutschlandSpecialist Ordermanagement (m / w / d) im Schienenfahrzeugbau
AlphaConsult KG12681 Berlin, DeutschlandSteuerfachangestellte : r
Data Treuhand GmbH & Co. KGOranienburg, Brandenburg, GermanyGKP Erfahrung ITS m / w / d
NEW LINE Personnel Consulting GmbHBerlin - Reinickendorf, DeutschlandApplied Scientist
Amazon.comHennigsdorf, DEAt 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
PREFERRED QUALIFICATIONS
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.