Senior Machine Learning Engineer (m/f/d)

Your Role

Join as a Senior Machine Learning Engineer focused on Pricing & Revenue, tasked with delivering data-driven improvements in forecasting, pricing strategies, and product insights. You will design and implement analyses and models that have clear, quantifiable impacts on our product, emphasizing solid data foundations, thorough evaluation, and practical application. Collaboration with the Product and Engineering teams is integral to your role.

Key Responsibilities

• Develop and refine forecasting and pricing models alongside data-driven decision logic, balancing methodological thoroughness with pragmatic impact.
• Analyze time series data, demand signals, and diverse data sources to accurately define features and labels while eliminating data leakage risks.
• Lead model evaluation through backtesting, rigorous metrics, segmentation, and support for holdouts and A/B testing methods, maintaining equilibrium between offline and online model performance.
• Implement ML engineering best practices by enhancing backtesting processes, ensuring reproducibility, and applying version control to achieve engineering-grade quality over mere exploratory notebooks.
• Improve dashboards and reporting tools to increase visibility of model and business key performance indicators, focusing on top-notch data quality.
• Establish automated, reproducible workflows with proper versioning, clear pipelines, and comprehensive testing to streamline analyses and evaluation routines.

Candidate Profile

• Proven experience with 4 or more years in data science or applied machine learning engineering, preferably within product-oriented or business environments.
• Exceptional proficiency in SQL coupled with a keen intuition for data quality, debugging, and consistent metric development.
• Advanced Python skills producing clean, transparent code and analyses, with initial exposure to product-driven settings highly advantageous.
• Strong grasp of experimental design principles focusing on bias and leakage prevention, and a holistic view of offline versus online validation strategies.
• Self-driven individual who takes full responsibility for projects, operates with a pragmatic mindset guided by the 80/20 rule, demonstrates reliability, and possesses clear communication skills.
• Entrepreneurial thinking with a goal to effect meaningful change within the organization.
• Fluent German language skills accompanied by good command of English.

Additional Assets (Nice-to-Have)

• Domain-specific knowledge in revenue management or dynamic pricing in sectors such as hospitality, travel, eCommerce, or mobility.
• Understanding of demand patterns involving seasonality, events, lead times, and customer segmentation.
• Familiarity with modern analytics engineering and data warehousing tools like dbt, Snowflake, or Met.
• Practical experience working hands-on with MLOps tools and cloud infrastructure platforms such as AWS.