Data Scientist - (Logistics, Choice)

Delivery Hero

Delivery Hero, a leader in the delivery platform landscape, is expanding its logistics capabilities. They operate in over 70 countries, driving innovation from their headquarters in Berlin. As part of the MDAX index, their mission is to offer outstanding delivery experiences, efficiently connecting customers with products. The logistics team tackles critical challenges to optimize delivery operations worldwide.

In this role you can expect to have the responsibilities:

• Develop and implement machine learning and optimization models for delivery efficiency.
• Collaborate with teams to enhance machine learning models across verticals.
• Analyze large datasets for decision-making improvements.
• Research emerging machine learning trends and integrate new methodologies.

This role comes with the following benefits:

• Hybrid working model with two days a week on-site in Berlin.
• 27 days holiday plus additional days for tenure.
• Educational support, language courses, and Udemy access.
• Health initiatives including meditation, yoga, and gym subsidies.
• Financial perks like share purchase plans and transportation discounts.
• Food vouchers and corporate discounts.

This role requires you to have:

• Expertise in business problem modeling using machine learning.
• Proficiency in Python data tools like Pandas, SQL, Sklearn, and PySpark.
• Strong SQL skills for data exploration and support analysis.
• Experience in writing clean, production-level code with Git.
• Familiarity with cloud systems, particularly GCP and BigQuery.

You would benefit from having:

• Experience with large-scale optimization problems.
• Hands-on experience with causal models and production deployment.
• Knowledge of designing and analyzing advanced experimental models.
• Background in logistics product development.

Delivery Hero is committed to diversity and inclusion, ensuring equal opportunities across all aspects of identity. They support accommodations for interviews to ensure a seamless process.