Head of Applied Science, Data Engineering & Analytics - Customer Care Technology (all genders) at Zalando

Berlin, Berlin, Germany

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

E-Commerce, Fashion, RetailIndustries

Requirements

Authentic and inspiring technology leader with a clear vision and commitment to build, empower, and coach a high-performing organization
7+ years of Data Science and/or ML-Engineering experience, including at least 4 years in a leadership capacity overseeing multidisciplinary data teams
Depth of technical expertise in data engineering, moving ML-based solutions into production, and hands-on experience with technologies like Docker, Git, AWS (EC2, S3), Databricks, and Postgresql
Strategic and analytical thinker with practical execution skills, knowing when to push for long-term improvements and when to deliver quick value
Highly collaborative with experience partnering closely with Applied Science, Product, and Engineering counterparts to craft an overarching strategy
Excellent communication and stakeholder management skills, with the ability to present ideas with clarity and translate technical strategy into business impact

Responsibilities

Lead with vision by defining and owning the data, analytics, and AI strategy for Customer Care, taking a hands-on approach to shaping architecture, tooling, and analytical direction
Build and mentor high-performing, cross-functional teams of data engineers, applied scientists, and analysts, fostering an inclusive and collaborative culture
Drive business impact with a product mindset, championing a customer-focused approach to design and deliver data solutions aligned with business needs
Drive innovation by leveraging the latest data and AI advancements to solve complex problems and strategically evaluate "build vs. buy" options for new technologies
Ensure technical excellence by maintaining high-level technical discussions with experts and continuously raising the technical bar for the team
Act as a strong communicator, translating complex technical topics for non-technical audiences and advocating for data needs across the organization

Skills

Data Engineering

Analytics

Data Science

Machine Learning

Data Architecture

Zalando

European online fashion retail marketplace

About Zalando

Zalando operates as a major e-commerce platform in Europe, focusing on fashion and lifestyle products. It allows customers to shop for a wide variety of clothing, shoes, and accessories from both established and emerging brands through its website and mobile app. The platform generates revenue by selling products directly to consumers and earning commissions from third-party sellers who list their items on Zalando. A key feature of Zalando is its commitment to providing a smooth shopping experience, which includes free delivery and returns, a large selection of products, and personalized recommendations. Zalando Plus, a premium membership program, offers additional benefits like faster shipping and exclusive deals. The company distinguishes itself from competitors by investing in technology and logistics to enhance customer satisfaction and streamline operations.

Berlin, GermanyHeadquarters

2008Year Founded

$149.8MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

10,001+Employees