Delivery Hero is building the next generation global online food-ordering platform. Our highly international team already operates in over 40 countries worldwide to ensure hungry customers get to their favorite takeaway food the fastest way possible. The company has grown from its inception in 2011 to become the world’s largest food-ordering network. This is an exciting time for Delivery Hero with rapid growth in countries, market size and opportunities. Our ideal candidate will be enthusiastic, innovative and good at getting things done. You will play an active role in our future - an exciting job and a workplace in the heart of Berlin is waiting for you!
Your mission:
- Mentor a team of Data Scientists as Chapter Lead in a fast and agile environment.
- Define and implement standard operating procedures for statistical analysis across the squads.
- Identify new opportunities and advocate your ideas to the management team to define strategic projects for the whole vertical.
- Own data projects from collection to operationalization inside one of our squads.
- Build data products that improve the business and will be applied to multiple markets.
- Improve our data pipeline and structure together with our data engineers and developers.
- Work with structured and semi-structured data from different data sources (BigQuery, Redshift, Adjust, Google Analytics, PostgreSQL and many more).
Your heroic skills:
- Your pragmatic approach enables you and other data scientists to build solutions with a direct impact on the business.
- You are a structured, critical thinker and creative problem solver, who always wants to improve things further.
- You are a team player who loves to work with stakeholders from different backgrounds in an international environment.
- Very good english communication skills.
- Around 5 years of work experience as a data scientist or comparable.
- Experience with scientific work in your Masters or PhD in statistics, physics, economics, mathematics, data science or similar.
- Good knowledge in basic data science tools and languages such as Spark, R, Python, SQL.
- Extensive background in statistical models such as regressors, classifiers as well as hypothesis testing.
- Experience in Big Data Pipelines for streaming and batch analysis.
- Machine learning and Deep learning experience at scale.
We offer you:
- International working atmosphere and cross-cultural teams.
- Goal oriented environment.
- Flexible working hours.
- Great career opportunities.
- Safety of a large company: pension scheme and stability.
- Nice work environment and English as working language.
- For applicants from abroad: relocation package and German lessons.
Have we caught your attention? Then please send us your application including cover letter, CV, salary expectations and earliest starting date.
We’re looking forward to your application!