Senior Data Scientist - (Logistics, Workforce)

TN Germany; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in logistics is seeking a Senior Data Scientist to enhance their delivery operations. You will leverage machine learning and statistical methods to improve efficiency and support expansion into new markets like grocery and retail. Join a dynamic team focused on delivering exceptional experiences for riders and customers worldwide.

Qualifikationen

• At least 3 years of experience applying machine learning methods.
• Fluency in Python and familiarity with data libraries.
• Strong communication skills to explain modeling approaches.

Aufgaben

• Conceptualize modeling approaches for logistics challenges.
• Innovate solutions using Machine Learning and Operations Research.
• Collaborate with Data Science colleagues to solve complex problems.

Kenntnisse

Machine Learning

Python

Communication

Critical Thinking

Problem Solving

Tools

BigQuery

Spark

Numpy

Pandas

Scikit-learn

Matplotlib

Plotly

Jobbeschreibung

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Senior Data Scientist - (Logistics, Workforce), Berlin

Client: Delivery Hero

Location: Berlin, Germany

Job Category: Other

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EU work permit required: Yes

Job Reference: b40148d8c48d

Job Views: 1

Posted: 16.05.2025

Expiry Date: 30.06.2025

Job Description

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 impact 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 Logistics at scale, together with your squad lead and stakeholders.

Innovate new modeling solutions using Machine Learning, Operations Research, and Statistics that add value to our business.

Pair-program with your squad to engineer solutions automating model retraining and prediction generation.

Collaborate in brainstorming sessions with Data Science colleagues to solve complex modeling problems.

Define data needs to add value to projects, working with data engineering and tech teams on roadmaps.

Work with (semi-)structured data from BigQuery DWH architecture and process with Spark as needed.

Contribute to and make an impact in a global, fast-moving tech organization.

Have fun and grow with your team.

In our Logistics Team, you’ll address high-impact challenges to make last-mile delivery efficient, affordable, and sustainable, directly improving experiences for riders, customers, and merchants worldwide. Your work will support Delivery Hero's expansion into new areas like grocery and retail.

Qualifications

• At least 3 years of experience applying machine learning methods to real-world datasets.
• Fluency in Python and familiarity with libraries such as Numpy, Pandas, Scikit-learn, Matplotlib, Plotly.
• Ability to translate business problems into technical solutions.
• Experience with regression and classification problems using models like Random Forest, XGBoost, LightGBM, and CatBoost.
• Knowledge of Time-Series Forecasting, Operations Research, and Statistics is a plus.
• Experience with Big Data platforms like BigQuery and Spark, including writing SQL queries.
• Ability to write maintainable, best-practice code.
• Careful analysis of assumptions and data quality before modeling.
• Strong communication skills to explain modeling approaches to diverse audiences.
• A passion for learning, critical thinking, and creative problem solving.
• Team player willing to collaborate with stakeholders across tech teams in a diverse environment.