Requirements

You are excited to solve large-scale real-world data science challenges. Prior experience with Customer Service problems is a plus.
You have experience applying machine learning or statistical methods to real-world datasets and a proven track record of delivering data science solutions to production systems.
You have a strong sense of responsibility and desire to run software for millions of users: we build it, we run it.
You have experience handling large datasets efficiently with SQL.
You can write maintainable code that follows best practices in software engineering.
You have an eye for detail. Before starting to work on a use-case, you carefully challenge existing assumptions and care about clean data.
You are a strong communicator and can explain the intuition behind your modeling approach to people with different backgrounds.
You are fluent in Python, and familiar with a range of scientific and statistical libraries. Other languages are a bonus!
You have experience with a range of software engineering tools including Git, Docker, cloud technologies (GCP/AWS), Kubernetes, CI/CD, and pipeline tools such as Metaflow.
You love to learn, are a critical thinker and creative problem solver who strives for excellence.
You are a team player who loves to collaborate and work with stakeholders from different tech teams in a diverse environment.
You are fluent in English.

Nice to Haves

You have experience with a range of modeling techniques including experimental design and AB testing, Bayesian analysis, natural language processing, and time series forecasting.

Conceptualize the right modeling approach for challenges in the field of Customer Service at scale, together with your squad lead and our stakeholders, using cutting-edge research to inform your decisions.
Build solutions end-to-end from inception to production-grade systems - including research & prototyping, gathering data requirements, cross-team alignment, product development, experimentation, deployment, and monitoring.
Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together, pitching new ideas and improvements to non-technical stakeholders.
Help define data needs to further improve existing projects, to support data engineering and tech teams in planning their roadmap.
Work with (semi-)structured data from our BigQuery DWH architecture and process with Spark where necessary.
Contribute and make an impact in a global, fast-moving tech organization.
Have fun and grow together with your team.

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.
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.
Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support.
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, Online Canteen, Corporate Discounts.