The AI Job Search Engine
Applied Scientist - Merchandise Integrity(m/w/x)
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
3 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
Benefits
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
Other Benefits
- •2 paid volunteering days
- •Health and wellbeing options
More Vacation Days
- •27 days of vacation
Additional Allowances
- •Relocation assistance
Family Support
- •Family services
Mental Health Support
- •Mental health support
Learning & Development
- •Training platform access
- Zalando Payments GmbHFull-timeWith HomeofficeSeniorBerlin
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Applied Scientist - Merchandise Integrity(m/w/x)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
3 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
Benefits
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
Other Benefits
- •2 paid volunteering days
- •Health and wellbeing options
More Vacation Days
- •27 days of vacation
Additional Allowances
- •Relocation assistance
Family Support
- •Family services
Mental Health Support
- •Mental health support
Learning & Development
- •Training platform access
About the Company
Zalando
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
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