Head of Applied Science & Engineering - Search

United States Digital Space LLC; Berlin; Vor Ort; EUR 180.000 - 260.000; Vollzeit

Benefits dieser Stelle

27 Tage Urlaub pro Jahr

2 bezahlte Freiwilligentage pro Jahr

Aktienprogramm

Rabatte auf Fashion & Beauty

Umzugshilfe

Familienservice / Unterstützung

Gesundheit und Wohlbefinden

Mentales Gesundheits-Coaching

Entwicklung durch Lernplattform

Zusammenfassung

the company in Berlin sucht eine/n Head of Applied Science & Engineering – Search, um die wissenschaftliche Strategie und Umsetzung für Suchfunktionen in Europas größter Fashion- & Lifestyle-Plattform zu leiten. Sie definieren die langfristige Vision für Relevanz und Entdeckung, nutzen ML/AI und Experimente, um Kund*innen schnell passende Produkte zu zeigen.

Sie führen ein Team von Managers, Principal Applied Scientists & Engineers und arbeiten eng mit Produkt, Engineering, Analytics und Design

Qualifikationen

• Erfahrung in der Leitung von Applied-Science-Organisationen.
• Nachweisliche Erfolge bei AI/ML-Initiativen mit Geschäftsauswirkungen.
• Ausgeprägte Kommunikations- und Stakeholder-Fähigkeiten.

Aufgaben

• Langfristige Applied-Science-Strategie definieren und Roadmap an Geschäftsprioritäten ausrichten.
• Fortgeschrittene ML-Modelle für Abfrageverständnis, Retrieval, Ranking entwickeln.
• High-Performing Teams aufbauen und führen, Talent entwickeln.
• Geschäftsergebnisse durch Relevanz, Diversität, Monetarisierung balancieren.
• Skalierbare ML-Plattformen, Dateninfrastruktur und Experimentier-Frameworks vorantreiben.
• Best Practices für Modell-Governance, Offline-Evaluation, Online-Experimenten etablieren.
• Adoption neuer AI/ML-Techniken fördern und vorantreiben.
• Cross-funktionale Zusammenarbeit mit Produkt, Engineering, UX und Führung.

Kenntnisse

Führung

ML-Expertise

NLP

Experimentation

Jobbeschreibung

Head of Applied Science & Engineering – Search

Germany - Berlin, Full time, Applied Science & Research

About the Role

We are looking for a Head of Applied Science to lead the scientific strategy and execution for Search across Europe’s largest fashion & lifestyle platform. This leader will define the long-term vision for Search relevance and discovery, leveraging machine learning, AI, and experimentation to help millions of customers find the right products quickly and confidently.

You will lead a team of managers, and principal applied Scientists & engineers responsible for developing and deploying state-of-the-art query understanding, retrieval, and ranking models for Search. Working closely with Product, Engineering, Analytics, and Design, you will shape the future of Search by balancing customer experience, business outcomes, and scientific innovation.

INCLUSIVE BY DESIGN

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!

At the company, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.the company.com/en/our-culture/diversity-and-inclusion

WHAT WE'D LOVE YOU TO DO

• Define and drive the long-term Applied Science strategy, aligning roadmap investments with customer needs and business priorities.
• Lead the development of advanced ML models for query understanding, retrieval, ranking, and personalization to improve Search relevance.
• Build and inspire high-performing teams of Applied Scientists and ML engineers, fostering a culture of scientific rigor, mentorship, and continuous learning.
• Optimize for business outcomes by balancing relevance, diversity, monetization, and operational efficiency.
• Accelerate innovation by investing in scalable machine learning platforms, data infrastructure, and experimentation frameworks.
• Establish best practices for model governance, offline evaluation, online experimentation, and standardized scientific methods across teams.
• Drive adoption of emerging AI/ML techniques, ensuring the organization stays at the forefront of technological advancements.
• Collaborate cross-functionally with Product, Engineering, UX, and leadership to define priorities and influence the broader organizational strategy.

WE'D LOVE TO MEET YOU IF YOU BRING..

• Proven experience leading high-performing Applied Science or Machine Learning organizations.
• Track record of defining technical vision and delivering business impact through AI and machine learning.
• Ability to attract, develop, and retain exceptional scientific talent.
• Deep expertise in machine learning, information retrieval, learning-to-rank, NLP, or related disciplines.
• Strong understanding of experimentation, causal inference, statistical modeling, and evaluation methodologies.
• Experience deploying and operating large-scale machine learning systems in production.
• Demonstrated ability to translate customer problems into scientific solutions that deliver measurable business impact.
• Experience balancing customer experience, operational considerations, and commercial objectives.
• Strong strategic thinking with the ability to prioritize long-term investments alongside near-term delivery.
• Exceptional communication and stakeholder management skills.
• Experience leading complex, cross-functional initiatives across engineering, product, analytics, and business teams.
• Ability to influence senior leadership through data, scientific reasoning, and clear communication.

OUR OFFER

the company provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• 27 days of holiday a year to start for full-time employees
• 2 paid volunteering days a year
• Employee shares program
• 40% off fashion and beauty products sold and shipped by the company, 30% off Lounge by the company, discounts from external partners
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

Über the company

the company wurde 2008 in Berlin gegründet und ist die führende europäische Technologieplattform für Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 Märkten. Unser Geschäft basiert auf einer einzigartigen, KI-gestützten Daten- und Infrastrukturplattform. Für unsere Kund*innen bietet unser Multi-App-Ansatz – bestehend aus the company, ABOUT YOU und Lounge by the company – ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. Für unsere Partner bauen wir das Betriebssystem für den E-Commerce. Über ZEOS, Tradebyte und SCAYLE öffnen wir unsere Logistik-, Software- und Servicekapazitäten für Marken und Einzelhändler*innen zur nahtlosen, grenzüberschreitenden Skalierung ihres Geschäfts.