Job
In this role, you will develop data models to optimize last-mile logistics, analyze large datasets, and innovate solutions using Machine Learning for millions of orders.
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Job technologies
Your role in the team
- We are looking for a Senior Data Scientist - Logistics, Workforce to join our Logistics team to help us create a fast, reliable and transparent delivery experience.
- You will make an impact in optimizing our on-demand last-mile delivery operations, involving hundreds of thousands of couriers and restaurants, improving the experience for millions of orders per day in 70+ countries.
- Conceptualize the right modeling approach for challenges in the field of Logistics at scale, together with your squad lead and our stakeholders.
- Innovate new modeling solutions by drawing from fields like Machine Learning, Operations Research and Statistics that drive value for our business.
- Pair-program with your squad to engineer solutions that automate the retraining of models and generation of predictions.
- Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together.
- Help define data needs to bring value to the projects, collaborate with the data engineering and tech teams in planning their roadmap.
- Work with (semi-)structured data from our BigQuery DWH architecture and process with Spark where necessary.
Our expectations of you
Qualifications
- Fluency in Python and familiarity with its scientific/visualization libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Plotly, etc.
- You can transfer business problems from a problem space to a technical solution space.
- Drive product growth by designing, executing, and analyzing rigorous A/B tests to ensure all platform changes are validated by high-quality statistical evidence.
- You know how to work with Big Data platforms such as BigQuery/Spark and know how to write a SQL query to pull the data you need.
- You can write maintainable code that follows best practices in software engineering.
Experience
- You have at least 5+ years of experience applying methods from machine learning to real-world datasets.
- Experience in solving regression and classification-type problems with statistical, linear/non-linear models and ensemble models in particular (Random Forest/XGBoost/LightGBM/CatBoost).
- Experience with Time-Series Forecasting, Operations Research, and Statistics is an interesting addition.
What we offer
- Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
- We offer 27 days of holiday with an extra day in 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 & Bicycle Subsidy.
- 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, Food Vouchers, Corporate Discounts.
- 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.
Benefits
Food & drink
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
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.
- 2011
- English
- Established Company
- Onsite, Hybrid
- Trade
Employer reviews
- Engineering
- 2.8
- Career growth
- 3.2
- Team culture
- 3.3
- Working conditions
- 3.8
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