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About the Role
We are looking for a Senior Data Scientist (Maternity Cover) 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 orders per day in 65+ countries.
Responsibilities
- 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 defining 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.
Requirements
- At least 5 years of experience applying methods from machine learning to real-world datasets.
- Fluency in Python and familiarity with its scientific/visualization libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Plotly etc.
- Ability to transfer business problems from a problem space to a technical solution space.
- Experience in solving regression and classification type of 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.
- Proficiency working with Big Data platforms such as Big Query/Spark and ability to write SQL queries.
- Ability to write maintainable code that follows best practices in software engineering.
Skills
- Python
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Plotly
- Machine Learning
- Operations Research
- Statistics
- Time-Series Forecasting
- Big Data platforms
- Big Query
- Spark
- SQL
- Software Engineering
Location
- Berlin, Germany
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- 27 days holiday with an extra day on 2nd and 3rd year of service
- 1.000 € Educational Budget
- Language Courses
- Parental Support
- Access to Udemy Business platform
- Health Checkups
- Meditation & Gym
- Employee Share Purchase Plan
- Sabbatical Bank
- Public Transportation Ticket Discount
- Life & Accident Insurance
- Corporate Pension Plan
- Digital Meal Vouchers
- Food Vouchers
- Support with relocation to Berlin
About the Company
- As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door.
- We operate in around 65 countries worldwide, powered by tech, designed by people.
- As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
- We push hard, learn quickly and stay human along the way.
- It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side.
- If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.
Equal Opportunity
- We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
- Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.
- We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected].
- Severely disabled applicants with equal qualifications will be given preferential consideration.
- You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.