Data Scientist – Revenue Management Position Available In Broward, Florida
Tallo's Job Summary: Data Scientist - Revenue Management at Kaizen Analytix in Fort Lauderdale, FL. Contract role offering $60-$65 per hour. Responsibilities include developing statistical and machine learning models for revenue forecasting and pricing optimization. Required qualifications: Bachelor's degree, 3-5+ years of data science experience, proficiency in Python or R, strong SQL skills, and experience with data warehousing. Preferred qualifications include experience with Tableau and cloud computing platforms.
Job Description
Data Scientist
- Revenue Management Kaizen Analytix
- 2.0 Fort Lauderdale, FL Job Details Contract $60
- $65 an hour 2 days ago Qualifications Azure Management Doctoral degree Software deployment R Revenue management Google Cloud Platform Mid-level Tableau 3 years Master’s degree SQL Statistical analysis AWS Analysis skills Bachelor’s degree Machine learning Doctor of Philosophy Feature extraction Regression analysis Cloud computing Model training Data science Clustering Communication skills Data warehouse
Python Full 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 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.
