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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Apache Spark
Benefits
Other Benefits
- 2 paid volunteering days
Flexible Working
- Hybrid working model
Workation & Sabbatical
- Work from abroad for 30 days
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion products
- 30% off Lounge by Zalando
- Discounts from external partners
Additional Allowances
- Relocation assistance
Family Support
- Family services
Mental Health Support
- Health and wellbeing options
- Mental health support
Learning & Development
- 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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Apache Spark
Benefits
Other Benefits
- 2 paid volunteering days
Flexible Working
- Hybrid working model
Workation & Sabbatical
- Work from abroad for 30 days
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion products
- 30% off Lounge by Zalando
- Discounts from external partners
Additional Allowances
- Relocation assistance
Family Support
- Family services
Mental Health Support
- Health and wellbeing options
- Mental health support
Learning & Development
- Training platform access
About the Company
Zalando Payments GmbH
Industry
Retail
Description
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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