Senior Data Scientist (Maternity Cover) - (Logistics, Workforce)

Delivery Hero; Berlin; Hybrid; EUR 90.000 - 125.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

27 days holiday + extra days

Educational Budget €1,000

Language courses

Udemy Business access

Health checks & gym

Zusammenfassung

Delivery Hero in Berlin is seeking a Senior Data Scientist (Maternity Cover) to join our Logistics team, driving fast, reliable and transparent delivery experiences. You will optimize on-demand last-mile operations across hundreds of thousands of couriers and restaurants, impacting millions of orders daily.

You’ll tackle high-impact challenges using ML, OR and statistics, collaborating with data science colleagues to deliver scalable models and predictions.

Qualifikationen

• At least 5 years of experience applying machine learning to real‑world datasets.
• Fluency in Python and familiarity with NumPy, Pandas, Scikit‑learn, Matplotlib, Plotly.
• Ability to translate business problems into technical solutions.
• Experience with regression and classification models including Random Forest, XGBoost, LightGBM, CatBoost.
• Experience with Time-Series Forecasting, Operations Research, and Statistics is a plus.
• Know how to work with Big Data platforms and write SQL queries.
• Write maintainable, well‑tested code following best practices.

Aufgaben

• Conceptualize the right modeling approach for challenges in Logistics at scale with your squad lead and stakeholders.
• Innovate modeling solutions drawing from ML, OR and statistics to drive business value.
• Pair-program with your squad to engineer solutions that automate retraining of models and generation of predictions.
• Provide ideas in brainstorming sessions with Data Science colleagues to solve tough problems.
• Define data needs to bring value to projects; collaborate with data engineering and tech teams on roadmaps.
• Work with (semi-)structured data from BigQuery DWH and process with Spark where necessary.

Kenntnisse

Python

NumPy

Pandas

scikit-learn

Matplotlib

Plotly

SQL

BigQuery

Spark

Time-Series Forecasting

Tools

BigQuery

Spark

XGBoost

LightGBM

CatBoost

Jobbeschreibung

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 (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.

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.
• 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.

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.

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 [e-mail].