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Head of Applied Science, Data Engineering & Analytics - Customer Care Technology(m/w/x)
Shaping data and AI strategy for customer care technology at an online fashion club. 7+ years data science/ML engineering and 4+ years leadership experience required. Employee shares program, 2 paid volunteering days.
Requirements
- Authenticity and inspiring leadership
- 7+ years of Data Science and/or ML-Engineering experience
- At least 4 years in a leadership capacity
- Depth of technical expertise in data engineering
- Hands-on experience with Docker, Git, AWS (EC2, S3), Databricks, and Postgresql
- Strategic and analytical thinking
- Collaboration with Applied Science, Product, and Engineering
- Excellent communication and stakeholder management skills
Tasks
- Shape and drive data and AI strategy
- Lead a team of data scientists, analysts, and engineers
- Define long-term vision for data in Customer Care
- Create business value through innovative solutions
- Define and own analytics and AI strategy
- Shape architecture, tooling, and analytical direction
- Build and mentor cross-functional teams
- Foster an inclusive and collaborative culture
- Champion customer-focused data solutions
- Leverage data and AI advancements for problem-solving
- Evaluate build vs. buy options for new technologies
- Maintain high-level technical discussions
- Raise the technical bar for the team
- Translate complex technical topics for non-technical audiences
- Advocate for data needs across the organization
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Docker
- Git
- AWS (EC2, S3)
- Databricks
- Postgresql
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Other Benefits
- 2 paid volunteering days a year
- Health and wellbeing options
Flexible Working
- Hybrid working model with up to 60% remote
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
More Vacation Days
- 27 days of vacation a year
Additional Allowances
- Relocation assistance
Family Support
- Family services including counseling and support
Mental Health Support
- Mental health support and coaching
Learning & Development
- Training platform and biannual peer-to-peer review
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Head of Applied Science, Data Engineering & Analytics - Customer Care Technology(m/w/x)
Shaping data and AI strategy for customer care technology at an online fashion club. 7+ years data science/ML engineering and 4+ years leadership experience required. Employee shares program, 2 paid volunteering days.
Requirements
- Authenticity and inspiring leadership
- 7+ years of Data Science and/or ML-Engineering experience
- At least 4 years in a leadership capacity
- Depth of technical expertise in data engineering
- Hands-on experience with Docker, Git, AWS (EC2, S3), Databricks, and Postgresql
- Strategic and analytical thinking
- Collaboration with Applied Science, Product, and Engineering
- Excellent communication and stakeholder management skills
Tasks
- Shape and drive data and AI strategy
- Lead a team of data scientists, analysts, and engineers
- Define long-term vision for data in Customer Care
- Create business value through innovative solutions
- Define and own analytics and AI strategy
- Shape architecture, tooling, and analytical direction
- Build and mentor cross-functional teams
- Foster an inclusive and collaborative culture
- Champion customer-focused data solutions
- Leverage data and AI advancements for problem-solving
- Evaluate build vs. buy options for new technologies
- Maintain high-level technical discussions
- Raise the technical bar for the team
- Translate complex technical topics for non-technical audiences
- Advocate for data needs across the organization
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Docker
- Git
- AWS (EC2, S3)
- Databricks
- Postgresql
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Other Benefits
- 2 paid volunteering days a year
- Health and wellbeing options
Flexible Working
- Hybrid working model with up to 60% remote
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
More Vacation Days
- 27 days of vacation a year
Additional Allowances
- Relocation assistance
Family Support
- Family services including counseling and support
Mental Health Support
- Mental health support and coaching
Learning & Development
- Training platform and biannual peer-to-peer review
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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