Data Scientist - Revenue Management

Company: Kaizen Analytix
Location: Fort Lauderdale
Posted on: June 1, 2025

Job Description:

Job Title: Data Scientist - Revenue ManagementLocation: Fort Lauderdale
Job Type: Contract to Hire (3 Months)

• Develop and implement statistical and machine learning models for revenue forecasting, pricing optimization, and demand prediction.
• Integrate and validate a newly implemented revenue management system, ensuring data accuracy and alignment with business objectives.
• Manage the end-to-end model lifecycle: data collection, cleaning, feature engineering, model training, validation, deployment, and monitoring.
• Collaborate with cross-functional teams to understand business needs and deliver tailored analytical solutions.
• Perform in-depth data analyses to uncover trends and insights that inform revenue management strategies.
• Build and maintain scalable data pipelines for efficient processing and model training.
• Communicate analytical findings clearly to both technical and non-technical audiences.
• Develop and automate dashboards for tracking KPIs and delivering actionable insights.
• Continuously improve and optimize existing models and analytics processes.
• Develop and implement statistical and machine learning models for revenue forecasting, pricing optimization, and demand prediction.
• Integrate and validate a newly implemented revenue management system, ensuring data accuracy and alignment with business objectives.
• Manage the end-to-end model lifecycle: data collection, cleaning, feature engineering, model training, validation, deployment, and monitoring.Required Skills & Experience:
  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering); Master's or Ph.D. preferred.
  • 3-5+ years of experience in data science, ideally in revenue management, operations research, or a related domain.
  • Proficiency in Python or R for statistical analysis and machine learning.
  • Strong SQL skills and experience with data warehousing.
  • Proven experience developing, deploying, and maintaining analytical models in production environments.
  • Deep understanding of statistical modeling techniques (e.g., regression, time series, classification, clustering).
  • Familiarity with optimization methods (e.g., linear programming, dynamic programming).
  • Excellent communication and storytelling skills with the ability to present technical concepts to non-technical stakeholders.
  • Self-driven with strong analytical and problem-solving abilities.Preferred Qualifications:
    • Experience with visualization tools such as Tableau.
    • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
    • Solid understanding of revenue management principles and practices.
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Keywords: Kaizen Analytix, Doral , Data Scientist - Revenue Management, Executive , Fort Lauderdale, Florida