Die KI-Suchmaschine für Jobs
Applied Scientist - Merchandise Integrity(m/w/x)
Beschreibung
In this role, you will play a key part in enhancing customer experience by developing advanced anomaly detection systems. Your work will involve collaborating with cross-functional teams, solving complex problems, and continuously improving algorithms to ensure product integrity.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
3 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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
- Zalando Payments GmbHVollzeitmit HomeofficeSeniorBerlin
- Zalando
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Applied Scientist - Merchandise Integrity(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this role, you will play a key part in enhancing customer experience by developing advanced anomaly detection systems. Your work will involve collaborating with cross-functional teams, solving complex problems, and continuously improving algorithms to ensure product integrity.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
3 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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.
- Zalando Payments GmbH
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