Job Description

Job Title: Chief Data Scientist - Dynamic Pricing Optimization
Job Type: Full-time
Location: Remote

Our client is seeking an exceptional Chief Data Scientist to lead their cutting-edge dynamic pricing optimization efforts across multiple industries. The ideal candidate will possess deep mathematical expertise and a proven track record in applying advanced analytical techniques to solve complex pricing challenges in various market contexts. Our client specializes in developing state-of-the-art price optimization solutions for diverse sectors including e-commerce, hospitality, transportation, and retail. They leverage advanced mathematics, machine learning, and big data analytics to help businesses maximize revenue and profitability through strategic pricing decisions.

Key Responsibilities

• Lead the development and implementation of sophisticated price optimization models and algorithms applicable to multiple industries
• Design and oversee experiments to test pricing strategies and measure their impact on key performance indicators across various market dynamics
• Collaborate with cross-functional teams to translate business requirements from different sectors into mathematical frameworks
• Mentor and guide a team of data scientists and analysts, fostering a culture of innovation and technical excellence
• Stay abreast of latest developments in mathematical optimization, machine learning, and dynamic pricing strategies

Required Qualifications

• Ph.D. in Mathematics, Applied Mathematics, Operations Research, or a closely related quantitative field
• Minimum 10 years of experience applying advanced mathematical techniques to real-world business problems, with at least 5 years focused on pricing optimization in one or more industries
• Extensive knowledge of: Convex optimization, Nonlinear programming, Stochastic processes, Time series analysis, Bayesian inference
• Proven expertise in developing and implementing: Dynamic pricing models, Multi-product pricing optimization, Demand forecasting models
• Strong programming skills in Python and R, with experience in optimization libraries such as CPLEX or Gurobi
• Proficiency in SQL and experience working with large-scale datasets

Preferred Qualifications

• Experience with pricing challenges in multiple industries such as e-commerce, hospitality, transportation, or retail
• Familiarity with industry-specific factors like yield management, surge pricing, or markdown optimization
• Expertise in machine learning techniques like gradient boosting and neural networks
• Knowledge of cloud computing platforms (AWS, Azure, or GCP) for large-scale data processing and model deployment
• Published research in top-tier journals on topics related to pricing optimization or mathematical modeling

What We Offer

• Competitive salary commensurate with experience
• Performance-based bonuses
• Comprehensive health and retirement benefits
• Opportunities for continued learning and professional development
• Chance to work on cutting-edge problems with real-world impact across various industries