Pricing Specialist

1 dia atrás

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro US$100.000 - US$120.000
Advanced Pricing Analyst

Unlock Revenue Growth with Data-Driven Insights

As an Advanced Pricing Analyst, you will play a pivotal role in designing and implementing cutting-edge pricing models that drive revenue performance, customer value, and competitive positioning. This key contributor will develop and deploy machine learning and statistical models to support pricing decisions, demand forecasting, and revenue optimization.

Key Responsibilities:
  • Develop and deploy machine learning and statistical models to support pricing decisions, demand forecasting, and revenue optimization.
  • Conduct data exploration and wrangle large, complex datasets related to bookings, customer behavior, ship inventory, pricing, promotions, and competitive dynamics.
  • Collaborate with revenue management, analytics, and finance teams to define modeling requirements, test model scenarios, and ensure solutions align with business goals.
  • Apply pricing science and economics concepts to improve segmentation, elasticity estimation, and inventory control decisions.
  • Assist in building simulation tools and pricing engines that operationalize models in real-time or batch environments.
  • Collaborate with data engineers to define data requirements and ensure model-ready pipelines.
  • Document methodologies, assumptions, and model limitations clearly for technical and business audiences.
  • Guide data developers to ensure data is accurate and consumable for data science projects.
  • Provide executive-level summaries, visualizations, and recommendations for the senior leadership team.
Requirements:
  • Bachelor's Degree in Data Science, Statistics, Economics, Operations Research, Computer Science, Applied Mathematics, or related field.
  • Minimum 2 years of experience in a data science or quantitative role, ideally with exposure to pricing, forecasting, or optimization.
  • Strong foundation in predictive modeling, time series, and price elasticity estimation.
  • Familiarity with MLOps practices, including model monitoring, deployment pipelines, and reproducibility.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • A self-starter with strong problem-solving skills and a team-first mindset.

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