Global buyer Jobs in Schönefeld

We are on the lookout for a Data Scientist to join our GlobalRanking and Recommendations domain and help us enhance our user experience and with that help our customers easily discover new products and vendors. If youre a creative problem solver who is hungry for a new adventure an international workplace is waiting for you in the heart of Berlin!

At Delivery Hero youll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers creating datadriven personalized interactions that keep them coming back. As part of our Consumer Team youll enhance customer satisfaction and drive global growth and profitability through innovative projects.

Deep dive into our data to generate insights about our customers our products and our existing recommendation techniques.

Develop new data products from conception to production to help optimize our recommendation systems and improve the experience for our customers.

Transform fuzzy / highlevel requirements and objectives to solvable problem statements and requirements

Collaborate with Senior Data Scientists Product Specialists and user experience squads to understand business processes identify data and solution requirements.

Work with Data Engineers / MLOps to optimize and deploy your models.

Scale up your algorithm to provide business value in dozens of countries globally supporting multiple brands and millions of customers.

Help defining data needs to further improve existing algorithms.

Work with structured and semistructured data from different data sources (BigQuery PostgreSQL etc and many more).

Contribute and make an impact in a global fastmoving tech organization.

Qualifications :

• You have at least 3 years of experience applying methods from Machine Learning and Statistics to realworld datasets.

You excel at modeling business problems using machine learning techniques covering feature engineering model selection and design as well as evaluation and optimisation to deliver value to the business.

You can write maintainable code that follows best practices in Software Engineering and effectively software versioning with Git.

You are eager to put your models to production to get real customer feedback as soon as possible.

You have the ability to understand a business problem and translate structure it into a data science problem.

Fluency in Python and familiarity with its scientific stack such as numpy pandas scikitlearn matplotlib.

You have previous experience building recommendation or ranking systems.

You have experience with experimentation with different approaches through an AB testing methodology and offline evaluation

You know how to write a SQL query to pull the data you need.

Fluency in English.

Nice to have :

You have experience solving problems related to offline evaluation and monitoring recommendation & ranking systems.

Experience deploying complex models to serve live traffic and collaborating with ML engineers in creating efficient systems that integrate ML models following good MLOps practices.

Practical experience and knowledge of Deep Learning models & NLP techniques.

You know how to make your code run in a container and are enthusiastic about running it in modern infrastructure environments like Kubernetes.

Knowledge of GCP and cloud in general.

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

Make the most of our hybrid working model and join the team for facetoface 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 mindboosting endorphins : Health Checkups Meditation Yoga Gym & Bicycle Subsidy

Cash. Dough. Cheddar. Whatever you call it well 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.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he / she / they) right from the start so we can address you respectfully from our first contact.

Remote Work : Employment Type :

Fulltime

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Experience : years

Vacancy : 1