Staff Data Scientist - Quick Commerce
Staff Data Scientist - Quick Commerce
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Job Description
We are on the lookout for a Staff Data Scientist to join our Quick Commerce Commercial Tribe. In this role you will be exposed to various topics related to our Quick Commerce business assortment optimisation content generation promotion effectiveness improvement and ranking. You will help other Data Scientists to deliver high quality solutions challenge our assumptions and improve DS practices across our teams.
As a Staff Data Scientist you will work closely with multiple crossfunctional teams (Data Scientists Machine Learning Engineers and Software Engineers) to build and maintain highly scalable and reliable ML services deployed in dozens of countries globally with millions of customers.
If youre a skilled Data Scientist and creative problem solver who is eager to deliver solutions and hungry for a new adventure an international workplace is waiting for you in the heart of Berlin!
Guide the discovery of new innovative data products from conception to operationalization to help optimize our systems and improve the experience for our users.
Keep yourself up to date and suggest stateoftheart models to find out what works best for our customers.
Be the main reference point for new research and tech quality of Data Science in Qcommerce Commercial & Media Solutions tribes.
Enable collaboration and knowledge sharing by pushing cross teams projects.
Set up our teams for success by creating a longterm vision a midterm strategy and several shortterm roadmaps toward some of the most complex and interesting data problems.
Last but not least you are not afraid to build global systems that are used by thousands of people and constantly strive for excellence.
Qualifications :
Strong Statistical & ML Foundation Comfortable with fundamentals firstprinciples thinking and ML theory across various domains.
Software Engineering Best Practices Write maintainable Python code ensuring high standards in production systems (observability monitoring performance).
Domain Expertise Deep knowledge in at least one relevant area such as causal inference time series Bayesian methods NLP/LLM ranking/matching or advanced experimentation.
DataDriven Approach Carefully question assumptions before working on use cases and prioritize clean reliable data.
Effective Communication & Agile Mindset Filter and prioritize stakeholder requirements focusing on MVPs and agile development.
Mentorship & Collaboration Support team growth through mentoring while emphasizing reliability disciplined experimentation and datafocused development.
Nice to Have:
Leadership & Operational Excellence Proven leadership in driving operational excellence and best practices within engineering teams.
System Design & Scalability Experience designing and implementing large scalable distributed systems using microservices and heterogeneous platform components with knowledge of GCP.
Expertise in Testing & Knowledge Sharing Strong background in A/B testing to analyze model effectiveness with a record of knowledge sharing through conferences or publications.
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 and 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 :
No
Employment Type :
Fulltime
Employment Type
Full-time
