Senior Data Scientist - (Logistics, Workforce)

Delivery Hero

Delivery Hero, a leading local delivery platform, operates in over 70 countries, offering high-impact, tech-driven solutions from its Berlin headquarters. This role requires creative problem-solving to enhance last-mile delivery efficiency, improving logistics for a vast network of couriers and restaurants.

In this role you can expect to have the responsibilities:

• Develop and apply modeling approaches for logistics challenges.
• Innovate solutions in machine learning, operations research, and statistics.
• Collaborate with teams to automate model retraining and prediction processes.
• Conduct brainstorming for complex modeling problems.
• Define data needs in coordination with data engineering and tech teams.
• Work with structured data using BigQuery and Spark.
• Contribute to the global tech organization’s objectives.

This role comes with the following benefits:

• Hybrid working model with 2 days a week at the Berlin campus.
• 27 days holiday, plus additional days for years of service.
• 1,000 € educational budget and access to language courses.
• Wellness benefits including health checkups and gym subsidies.
• Employee share purchase plan and pension scheme.
• Meal and food vouchers, along with corporate discounts.

This role requires you to have:

• 3+ years of experience in machine learning applications.
• Proficiency in Python and libraries like Numpy and Scikit-learn.
• Ability to translate business problems into technical solutions.
• Experience with regression, classification, and ensemble models.
• Familiarity with SQL and Big Data platforms like BigQuery and Spark.
• Strong communication skills to explain technical concepts.

You would benefit from having:

• Experience in time-series forecasting and operations research.
• Knowledge of writing maintainable code according to best practices.
• Critical and creative problem-solving abilities.

Delivery Hero values diversity and inclusion, pledging non-discrimination across various dimensions, and encourages applicants to request necessary accommodations for the hiring process.