Data Scientist - Revenue Management
Data Scientist - Revenue Management
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$ 60 - 65
1 Vacancy
Job Description
Job Title: Data Scientist Revenue Management
Location: 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 endtoend model lifecycle: data collection cleaning feature engineering model training validation deployment and monitoring.
Collaborate with crossfunctional teams to understand business needs and deliver tailored analytical solutions.
Perform indepth 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 nontechnical 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 endtoend model lifecycle: data collection cleaning feature engineering model training validation deployment and monitoring.
Required Skills & Experience:
Bachelors degree in a quantitative field (Statistics Mathematics Computer Science Economics Engineering); Masters or Ph.D. preferred.
35 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 nontechnical stakeholders.
Selfdriven with strong analytical and problemsolving 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.
Employment Type
Contract
