Chief Data Scientist
2 weeks ago
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
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