Chief Data Scientist

2 weeks ago


Phoenix, United States Phoenix Staff Inc Full time
Job DescriptionJob 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
Company DescriptionWe believe that finding the right candidate shouldn’t be so hard. Neither should finding a job you love. By taking the time to understand your specific needs, we make the perfect placements and build relationships that last long after the position is filled. We’re fanatical about the right fit, and we look forward to finding yours.Company DescriptionWe believe that finding the right candidate shouldn’t be so hard. Neither should finding a job you love. By taking the time to understand your specific needs, we make the perfect placements and build relationships that last long after the position is filled. We’re fanatical about the right fit, and we look forward to finding yours.
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