Requirements

You have at least 3 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, Pandas, Scikit-learn, Matplotlib, Plotly etc.
You can transfer business problems from a problem space to a technical solution space.
Experience in solving regression and classification 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.
Before starting to work on a use-case, you carefully challenge existing assumptions and care about clean data.
You are a strong communicator and can explain the intuition behind your modeling approach to people with different backgrounds.
You love to learn and you 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 Haves

Experience with Time-Series Forecasting, Operations Research, and Statistics is an interesting addition.

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 and collaborate with the data engineering as well as with the tech teams in planning their roadmap.
Work with (semi-)structured data from our BigQuery DWH architecture and process with Spark where necessary.
Contribute and make an impact in a global, fast-moving tech organization.
Have fun and grow together with your team.

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.