Pricing Analyst Specialist

Há 12 horas

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro R$90.000 - R$120.000
Key Role in Pricing Model Development

The ideal candidate will be a key contributor in designing and implementing advanced pricing models that drive revenue performance, customer value, and competitive positioning.


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.
  • Stay current on data science best practices and tools.

Qualifications
  • DEGREE TYPE: Bachelor's Degree
  • FIELD(S) OF STUDY: Data Science, Statistics, Economics, Operations Research, Computer Science, Applied Mathematics, or related field.
  • EXPERIENCE: Minimum 2 years of experience in a data science or quantitative role, ideally with exposure to pricing, forecasting, or optimization.
  • COMPETENCIES & SKILLS
    • Experience building models using Python, R, or similar programming languages.
    • Hands-on experience with SQL and large-scale data manipulation.
    • Familiarity with optimization libraries, simulation frameworks, or revenue management systems is a plus.
    • Familiarity with MLOps practices, including model monitoring, deployment pipelines, and reproducibility.
    • Strong foundation in predictive modeling, time series, and price elasticity estimation.
    • Working knowledge of pricing concepts such as demand curves, overbooking, dynamic pricing, and segmentation.
    • Experience with version control - GitHub, cloud environments - AWS, and productionizing models is a plus.
    • Ability to communicate clearly with both technical and non-technical stakeholders.
    • A self-starter with strong problem-solving skills and a team-first mindset.
Position details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Travel Arrangements

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