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Senior Applied Scientist- Risk Management(m/w/x)
Developing and deploying ML models for real-time fraud detection at pan-European fashion e-commerce platform. Python proficiency and large-scale Apache Spark experience required. 30 days work from abroad, employee shares program.
Anforderungen
- Passion for researching and exploring new machine learning methods and data sources
- Hands-on experience in productionizing ML algorithms
- Collaboration and teamwork skills in a cross-functional environment
- Ability to deal with ambiguity and pragmatic problem-solving approach
- Proficiency in Python and experience with large-scale datasets using Apache Spark
- Experience in payments, risk, or fraud
- Recognition of domain knowledge and business acumen as critical for effective solutions
Aufgaben
- Explore deep data sets
- Develop machine learning models
- Deploy and monitor models
- Translate research findings into real-time systems
- Identify and analyze fraud patterns
- Balance customer experience with risk management
- Drive innovation in machine learning features
- Create scalable machine learning pipelines
- Engage with the applied science community
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Apache Spark
Benefits
Sonstige Vorteile
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
Workation & Sabbatical
- Work from abroad for 30 days
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion products
- 30% off Lounge by Zalando
- Discounts from external partners
Sonstige Zulagen
- Relocation assistance
Familienfreundlichkeit
- Family services
Mentale Gesundheitsförderung
- Health and wellbeing options
- Mental health support
Weiterbildungsangebote
- Training platform access
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Senior Applied Scientist- Risk Management(m/w/x)
Developing and deploying ML models for real-time fraud detection at pan-European fashion e-commerce platform. Python proficiency and large-scale Apache Spark experience required. 30 days work from abroad, employee shares program.
Anforderungen
- Passion for researching and exploring new machine learning methods and data sources
- Hands-on experience in productionizing ML algorithms
- Collaboration and teamwork skills in a cross-functional environment
- Ability to deal with ambiguity and pragmatic problem-solving approach
- Proficiency in Python and experience with large-scale datasets using Apache Spark
- Experience in payments, risk, or fraud
- Recognition of domain knowledge and business acumen as critical for effective solutions
Aufgaben
- Explore deep data sets
- Develop machine learning models
- Deploy and monitor models
- Translate research findings into real-time systems
- Identify and analyze fraud patterns
- Balance customer experience with risk management
- Drive innovation in machine learning features
- Create scalable machine learning pipelines
- Engage with the applied science community
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Apache Spark
Benefits
Sonstige Vorteile
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
Workation & Sabbatical
- Work from abroad for 30 days
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion products
- 30% off Lounge by Zalando
- Discounts from external partners
Sonstige Zulagen
- Relocation assistance
Familienfreundlichkeit
- Family services
Mentale Gesundheitsförderung
- Health and wellbeing options
- Mental health support
Weiterbildungsangebote
- Training platform access
Über das Unternehmen
Zalando Payments GmbH
Branche
Retail
Beschreibung
The company is committed to being a leading pan-European ecosystem for fashion and lifestyle e-commerce, thriving on diversity and inclusion.
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