Senior Data Scientist (Fixed Term) - (Logistics, Workforce)

Delivery Hero SE

Berlin

Vor Ort

EUR 90.000 - 130.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Hybrid work model
Educational budget
Language courses
Parental support
Udemy access
Health checkups
Meal vouchers
Pension plan
Public transport discount

Zusammenfassung

Delivery Hero SE in Berlin seeks a Senior Data Scientist (Fixed Term) to optimize on-demand last-mile delivery by building scalable models for hundreds of thousands of couriers and restaurants across 65+ countries. You will tackle high-impact challenges with the Logistics team, focusing on accuracy, efficiency and sustainability in delivery operations.

You’ll work on model retraining automation, collaborate with data engineers, and contribute to strategy across expanding areas like grocery and

Qualifikationen

  • At least 5 years applying machine learning to real-world datasets.
  • Fluency in Python with scientific libraries (NumPy, pandas, scikit-learn, matplotlib, Plotly).
  • Ability to translate business problems to technical solutions.
  • Experience with regression/classification models and ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost).
  • Experience with Big Data platforms (BigQuery, Spark) and SQL querying.
  • Write maintainable code following software engineering best practices.

Aufgaben

  • Conceptualize modeling approaches for logistics-scale challenges with stakeholders.
  • Develop new modeling solutions using ML, OR, and statistics to drive business value.
  • Pair-program to automate model retraining and prediction generation.
  • Contribute ideas in brainstorming sessions with DS colleagues to tackle problems.
  • Define data needs and coordinate with data engineering on roadmaps.
  • Work with semi-structured data from BigQuery DWH and Spark when needed.

Kenntnisse

Python
ML modeling
SQL
BigQuery/Spark
Time-series forecasting

Jobbeschreibung

Company Description

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.


Job Description

We are looking for a Senior Data Scientist (Fixed Term) 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.


In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail.


Your mission:


  • 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.


Qualifications


  • You have 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 numpy, Ppandas, Sscikit-learn, Mmatplotlib, Pplotly etc.

  • You can transfer business problems from a problem space to a technical solution space.

  • Experience in solving regression and classification-typeclassification 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

  • You know how to work with Big Data platforms such as Big Query/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.


Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.


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 holiday with an extra day on 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.

  • 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.

  • 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.


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 inclusion@deliveryhero.com.


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.

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