12 beste Stellen als computer vision engineer in berlin – aktuell auf Personalsuche

Applied Scientist – Marketing & Personalization
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Machine Learning
- Python
- Umzugskostenzuschuss
19 Std.
Engineering Lead - B2C Experience (m/f/d)
Raisin —Berlin
- Management-Erfahrung
- Informatik
- Englisch
- Flexible Arbeitszeiten
Consultant AI Engineer / Full Stack Engineer (m/w/d)
Deloitte —Berlin
- Online-Bewerbung
- Informatik
- Ingenieurwissenschaft
- Englisch
- Weiterbildungsprogramme
Senior DevOps Engineer (m/f/d) Hybrid Infrastructure
MOTOR Ai —Berlin
- Informatik
- DevOps
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Engineering Lead - Customer Accounting Team (m/f/d)
Raisin —Berlin
- Management-Erfahrung
- Informatik
- Java
- Flexible Arbeitszeiten
Engineering Lead – Frontend & Mobile Platform (m/f/d)
Raisin —Berlin
- Management-Erfahrung
- Informatik
- DevOps
- Flexible Arbeitszeiten
Senior React Engineer - Full Stack & AI Products (m/w/d)
Yoummday GmbH —Berlin
- Master
- APIs
- Künstliche Intelligenz
Data Architect (m/w/d) - Ramboll Tech
Ramboll —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Master
Direkt bewerben
Senior Product Manager - Search & Sort (all genders)
Best Secret GmbH —Berlin
- Vollzeit
- Master
- Machine Learning
- Produktmanagement
Account Director - Europe
Cognition —Berlin
- Vollzeit
- Hybrides Arbeiten
- Microsoft Excel
- Informatik
(Principal/Manager) Solution Architect AI (m/w/d)
Brighter AI Technologies GmbH —Berlin
- Vollzeit
- Englisch
- Linux
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Data Product Manager, Dynamic Assortment - (Quick Commerce)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Merchandising
- SQL
Direkt bewerben
13 Tage

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Engineering Lead - B2C Experience (m/f/d)
Raisin —Berlin
You bring at least 1 year of leadership/people management experience. You have strong hands-on experience (min. 5 years) as Frontend Engineer.

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Applied Scientist – Marketing & Personalization

Zalando -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 19 Stunden

Leistungen

Umzugskostenzuschuss

Qualifikationen

E-Commerce
Master
Machine Learning
Deep learning
A/B-Test
Python

Vollständige Stellenbeschreibung

Ort

Germany - Berlin

Vertrag

Full time

Job-Kategorie

Applied Science & Research

Applied Scientist – Marketing & Personalization (all genders)

You will join the Demand Data & Analytics team at Lounge by Zalando, the scientific brain powering our Marketing Department. By blending statistical rigor with Machine Learning, we determine how we talk to millions of customers every day across all our marketing channels.

We are a collaborative team that believes great science happens when ideas are shared openly, ownership is distributed, and engineers and scientists grow together. You will work alongside other Applied Scientists, Software Engineers, Marketing Managers and Analysts in a full-cycle environment, from discovery to production.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

Build and own personalization systems: develop recommendation models (content-based, collaborative filtering, ranking) that directly shape what customers see in emails and push notifications
Drive predictive modeling; lead CLV prediction, churn and other propensity models that turn complex data into actionable strategies for our Marketing teams
Design rigorous experiments: own A/B tests and incrementality experiments to measure the true causal impact of CRM campaigns and personalization initiatives on revenue and long-term customer value
Integrate science into production: partner with Engineering to bring models into production, defining feature stores, data pipelines and monitoring frameworks
Bridge science and business: translate model results and their limitations into clear, structured insights that influence campaign and personalization roadmaps
Elevate the team: actively participate in code reviews, share ideas in a culture of open collaboration, mentor peers and be mentored in return

WE’D LOVE TO MEET YOU IF

You hold a Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or Economics
You have 3–5 years of industry experience, ideally in e-commerce or digital marketing, building and shipping recommendation systems, segmentation models, propensity or predictive LTV models
You are comfortable with both statistical foundations and ML techniques. Deep learning experience is a genuine plus
You are proficient in Python, SQL and PySpark (Databricks) and hold yourself to high coding standards
You understand experimentation and applied causal inference, with hands-on experience in A/B testing and incrementality testing
You enjoy communicating with non-technical stakeholders by proactively conveying ideas, managing expectations and acting as a bridge between science and business
You thrive in an environment where ideas are challenged respectfully, ownership is real, and the team's success matters as much as your own

OUR OFFER

Zalando 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.

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Recruiter

Orjada Bilo

[email protected]

Nach der Prüfung werden unsere Recruiter*innen über eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.

In einigen Fällen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich für eine Stelle zu bewerben oder an einem Vorstellungsgespräch teilzunehmen.

Über Zalando

Zalando 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 Zalando, ABOUT YOU und Lounge by Zalando – 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.

Jetzt bewerben

Erweiterte Suche

computer vision engineer Jobs in berlin

Applied Scientist – Marketing & Personalization

Engineering Lead - B2C Experience (m/f/d)

Consultant AI Engineer / Full Stack Engineer (m/w/d)

Senior DevOps Engineer (m/f/d) Hybrid Infrastructure

Engineering Lead - Customer Accounting Team (m/f/d)

Engineering Lead – Frontend & Mobile Platform (m/f/d)

Senior React Engineer - Full Stack & AI Products (m/w/d)

Data Architect (m/w/d) - Ramboll Tech

Senior Product Manager - Search & Sort (all genders)

Account Director - Europe

(Principal/Manager) Solution Architect AI (m/w/d)

Data Product Manager, Dynamic Assortment - (Quick Commerce)

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