Data Scientist Revenue Optimization
Job Description & How to Apply Below
Elevate pricing strategies as a Senior Data Scientist at Pricepoint, focusing on actionable insights and machine learning. Contribute to revenue growth by analyzing real-world data applications.
As part of Pricepoint's Data Science team, you will leverage your expertise in optimization and machine learning to enhance pricing models for the hospitality sector. This senior role requires strong analytical skills to drive significant operational improvements through data-driven decisions.
Key Responsibilities:
• Improve pricing and demand-modeling systems
• Design optimization strategies for decision-making
• Evaluate models against real business outcomes
• Collaborate with engineering for solution implementation
• Present data insights to varied stakeholders
Requirements:
• Master’s or Ph.D. in relevant quantitative field
• Expertise in forecasting and statistical modeling
• Strong coding skills in Python and SQL
• Experience with production data handling
• Results-oriented with a collaborative approach
Leverage your analytical talents in data science to optimize revenue at Pricepoint.
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