Requirements

You excel at modelling business problems using machine learning techniques covering feature engineering, model selection, and design as well as evaluation and optimization to deliver value to the business.
You have expertise in building and training advanced machine learning models with strong knowledge of the Python data toolkit ideally centring around Pandas, SQL, Sklearn, and PySpark.
Through the fluent use of SQL queries, you are able to explore our data universe and gather data to support your analysis and the development of machine-learning solutions.
You write clean, production-level code and effectively use software versioning with Git.
You are familiar with deploying and developing in cloud systems, ideally with experience in GCP and bigquery.
You love to learn and are a critical thinker and creative problem solver who strives for excellence; you are a team player who loves to collaborate and work with stakeholders from different tech teams in a diverse environment.

Nice to have

Proven experience in addressing large-scale optimization problems (linear or mixed integer programming) is a strong asset.
Hands-on experience in creating causal models and deploying them in production is a plus.
Experience in designing and analyzing advanced products/models experiments (switchback tests, quasi-experiments, non-standard A/B tests etc) is a plus.
Experience in working on logistics product development would be a great benefit.

Drive the development and implementation of statistical, machine learning, and optimization models for choice optimization, rider fleet busyness and travel time prediction, and demand control. Collaborate with cross-functional teams to enhance the efficiency and performance of the machine learning models in across the vertical.
Analyze large-scale datasets to understand and identify opportunities by deploying sophisticated statistical techniques to improve decision-making in the domain.
Work on research initiatives to explore emerging trends and technologies in machine learning and data science, contributing to the advancement of Delivery Hero's digital products and algorithms. Stay informed about industry developments and incorporate new methodologies and best practices into our data science workflows.

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, Yoga, Gym & Bicycle Subsidy
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, Food Vouchers, Corporate Discounts. Courses.