Requirements

Experience: Master’s degree (or Bachelor’s with 6+ years of work experience) in a quantitative field such as Computer Science, Mathematics, Physics, Theoretical Chemistry, or similar. 4+ years of experience as a data scientist applying science on complex business problems.
Technical Expertise: Proficiency in SQL and Python and its ML ecosystem is essential. Experience with Java and Scala is a plus.
Machine Learning Knowledge: Strong understanding of a wide variety of ML and statistical methods, including Classical ML, Deep Learning, NLP, and Recsys. Ability to discern the most suitable approach for different problems.
Search and Ranking ML Algorithms: Hands-on working experience with search machine learning algorithms, such as learning to rank, semantic search, and personalization.
Problem-Solving: Comfortable with ambiguity and capable of navigating it to define clear data science problems and solutions. Strong analytical and problem-solving skills with a focus on delivering practical solutions.

What you'll be doing

Develop and Optimize Search Algorithms: Enhance and research new search machine learning algorithms for semantic search, query understanding, and personalization, to deliver the most relevant results to our users.
Collaborate Across Teams: Work as part of a cross-functional team, including Backend Engineers and Data Engineers, to improve our global search end-2-end. Work closely with product managers to find the best solutions for our customer’s problems.
Analyze and interpret large datasets: Extract meaningful insights to understand relevance problems and communicate them to stakeholders.
Innovate and Experiment: Identify and apply the best machine learning and statistical methods to solve complex problems, ensuring solutions are scalable and effective in production environments.
Navigate Ambiguity: Take a lead in tackling ambiguous business problems, ensuring clear problem definitions, translating them into data science projects.

Collaborative Spirit: Proven experience working in cross-functional teams, contributing effectively to joint projects and achieving common goals. Excellent communication skills to articulate complex ideas and influence stakeholders.

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