Data Scientist (Global Ranking)

Requirements

• You have at least 3 years of experience applying methods from Machine Learning and Statistics to real-world 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, scikit-learn, 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.

What you'll be doing

• 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/high-level 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 semi-structured data from different data sources (BigQuery, PostgreSQL etc and many more).
• Contribute and make an impact in a global, fast-moving tech organization.

Perks and Benefits

• 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.