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Applied Scientist - Merchandise Integrity(m/w/x)
Prototyping anomaly detection systems for product data in an exclusive online shopping club. 3+ years industry experience developing anomaly detection and risk scoring required. 30 days work from abroad, employee shares program, 40% fashion discount.
Anforderungen
- Master's degree or PhD in data science, statistics, mathematics, physics, economics, or related quantitative discipline
- At least 3 years of industry experience in developing anomaly detection and risk scoring
- Extensive experience with Python and data science libraries
- Excellent verbal and written communication skills
- Curious and self-starter mindset
- Ability to unblock yourself and request support
Aufgaben
- Contribute to the team roadmap
- Collaborate with product managers and engineers
- Identify opportunities and resource requirements
- Conceptualize and prototype anomaly detection systems
- Develop solutions for complex problems
- Communicate technical issues and results to team members
- Educate stakeholders about products and solutions
- Own the entire development cycle of algorithms
- Iteratively improve models and explore new data sources
- Build model pipelines and streamline analysis processes
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Databricks
- Spark
Benefits
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 Vorteile
- 2 paid volunteering days
- Health and wellbeing options
Mehr Urlaubstage
- 27 days of vacation
Sonstige Zulagen
- Relocation assistance
Familienfreundlichkeit
- Family services
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform access
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Applied Scientist - Merchandise Integrity(m/w/x)
Prototyping anomaly detection systems for product data in an exclusive online shopping club. 3+ years industry experience developing anomaly detection and risk scoring required. 30 days work from abroad, employee shares program, 40% fashion discount.
Anforderungen
- Master's degree or PhD in data science, statistics, mathematics, physics, economics, or related quantitative discipline
- At least 3 years of industry experience in developing anomaly detection and risk scoring
- Extensive experience with Python and data science libraries
- Excellent verbal and written communication skills
- Curious and self-starter mindset
- Ability to unblock yourself and request support
Aufgaben
- Contribute to the team roadmap
- Collaborate with product managers and engineers
- Identify opportunities and resource requirements
- Conceptualize and prototype anomaly detection systems
- Develop solutions for complex problems
- Communicate technical issues and results to team members
- Educate stakeholders about products and solutions
- Own the entire development cycle of algorithms
- Iteratively improve models and explore new data sources
- Build model pipelines and streamline analysis processes
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Databricks
- Spark
Benefits
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 Vorteile
- 2 paid volunteering days
- Health and wellbeing options
Mehr Urlaubstage
- 27 days of vacation
Sonstige Zulagen
- Relocation assistance
Familienfreundlichkeit
- Family services
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform access
Über das Unternehmen
Zalando
Branche
Retail
Beschreibung
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
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