Data Scientist - Customer Data Platform (all genders)

Requirements

• Solid experience applying statistical and machine learning models.
• Solid experience in SQL and Python.
• Experience with productionalizing data science models and validating their online performance using testing methodologies (such as A/B testing).
• Experience with cloud-based computing platforms, such as GCP or AWS as well as deep knowledge with MLOps best practices and tools.
• You 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 backgrounds in an international environment.

Nice to Have

• Proven track record of scientific work in your bachelor's, master's, or Ph.D. in statistics, physics, economics, mathematics, data science, or similar.
• Hands-on experience in collaborating with marketing teams, e.g., for incentive optimization.
• Experience in reinforcement learning approaches such as multi-armed bandit (MAB).
• Previous experience working in a cross-functional platform team/organization.

What You'll Be Doing

• Applying statistical and machine learning models.
• Working with SQL and Python for data analysis.
• Productionalizing data science models and testing their online performance.
• Utilizing cloud-based computing platforms and MLOps best practices.
• Collaborating with stakeholders in an international environment.

Perks and Benefits

• Hybrid working model with face-to-face connections in Berlin campus 2 days a week.
• 27 days holiday with additional days based on years of service.
• Health benefits including checkups, meditation, yoga, gym & bicycle subsidy.
• Financial benefits like Employee Share Purchase Plan, Sabbatical Bank, and more.
• Professional development support with an educational budget and language courses.
• Food vouchers, corporate discounts, and access to online courses.