Senior Data Scientist - Yield Optimization Your main focus will be optimizing yield by improving model performance, forecast accuracy, and explainability.
Key Responsibilities:
Enhance yield and matching models for better consistency and accuracy.
Analyze trading data to uncover patterns and opportunities.
Develop data-driven strategies for automated, low-risk decision-making.
Collaborate with developers and commercial teams to implement improvements.
Communicate technical insights to non-technical stakeholders.
Lead full lifecycle of data science projects, from hypothesis to deployment.
Drive innovation in 24/7 production environments.
Support scenario planning and forecasting for Commercial teams.
Ideal Skills:
Strong skills in Python, R, statistical modeling, and data tools.
Experience in pricing/yield optimization in marketplaces (e.g., travel, insurance, media).
Expertise in forecasting and optimization in discrete choice settings.
Agile mindset with strong problem-solving abilities.
Familiarity with AWS, Redshift, or Azure.
Proficiency in PowerBI and SQL for impactful data storytelling.