Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop advanced ML models for optimizing delivery forecasts and introduce innovative approaches in data processing to enhance supply chain efficiency and improve customer experience.
Job Technologies
Your role in the team
- We are on the lookout for a Staff Data Scientist in Quick Commerce to join our team and help us take our forecast and operations to the next level.
- Seien Sie Teil der Neugestaltung, wie Kunden das Quick-Commerce erleben.
- You'll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth.
- By innovating within our Quick Commerce Team, you'll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.
- The team's mission is to improve vendors' experience and bring value to the critical path of supply chain process through data science and data engineering.
- You will be working with an international and experienced team, shaping the experience for millions of customers who order daily through our platform.
- You'll bring in world-class AI and ML expertise to help design, build, and maintain the features and ML models that underpin our operations.
- You'll drive engineering excellence and collaborate closely with our fellow colleagues.
- Develop, test, and productionize forecasting algorithms using state-of-the-art machine learning, statistical inference, and optimization models.
- Contribute to building our models for personalized recommendations.
- Work in cross-functional teams across disciplines such as product, engineering and design.
- Own technical strategy and long-term vision for ML platform architecture; guide teams across the org on ML strategy and integration, ensuring reliability and stability.
- Stay on top of new technologies and industry trends in data science, customer analytics, and retention strategies.
- Define and evangelize ML/DS best practices, standards, and frameworks across the QCommerce Operations Tribe and related domains.
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Our expectations of you
Qualifications
- Nachweisliche Erfahrung beim Aufbau oder der Skalierung von ML-Plattformen über den gesamten Lebenszyklus hinweg.
- Solid programming skills in Python, Docker and cloud platforms (AWS or GCP).
- Proven ability to influence and align stakeholders across organizational boundaries without direct authority.
- Excellent written and verbal communication skills in English.
- Familiarity with orchestration tools (e.g., Airflow, Kubeflow, MLflow).
- Expertise in supply chain planning.
Experience
- 9+ years of experience in Data Science designing robust end-to-end data workflows, and at least 5 years of experience with forecasting techniques or optimization.
- Experience defining and implementing ML best practices and standards at scale.
- Deep operational knowledge of AI frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs.
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What we offer
- Nutzen Sie unser hybrides Arbeitsmodell optimal und kommen Sie zwei Tage pro Woche für persönliche Begegnungen und Zusammenarbeit auf unseren schönen Berliner Campus.
- We offer 27 days holiday with an extra day on the 2nd and 3rd year of service.
- We will support you in developing yourself and your career growth opportunities: €1,000 educational budget, language courses, parental support, and access to the Udemy Business platform to explore a variety of online courses.
- Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym.
- Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
- The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers.
- Wondering what relocating to Berlin is like? In this article, we've put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding Year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.2
Engineering
2.8Career Growth
3.2Culture
3.2Workingconditions
3.8
Staff Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
