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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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