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Sr. Pricing Optimization Analyst (Stats, Data Mining, MATLAB)

Analytical Insights | Los Angeles, CA

Job Description

About MarketShare:

MarketShare is an analytics company that enables businesses to grow efficiently by revealing what really drives results. Founded in 2005, MarketShare has a track record of ground-breaking innovations in data, modeling and software and has worked with nearly half of the Fortune 50 and 8 of the top 10 global brands. MarketShare's platform provides a combination of technology, data, modeling and business intelligence solutions that lead to improve decision-making for businesses.  We are high growth, venture-backed company solving some of the toughest marketing investment optimization problems in the industry. The company is based in Los Angeles, California with offices in San Francisco, New York, London, Tokyo and Bangalore.  For more information, please go to:

Quick Facts:

MarketShare has already helped direct over $100 Billion in marketing spend
Our clients are in over 45 countries and all US DMA's
The mathematics and modeling behind our work are globally recognized and respected as industry-leading


Senior Pricing Optimization Analyst

MarketShare is seeking professionals with theoretical and applied experience  in pricing optimization and revenue management to work on development of pricing product suite in the live entertainment space.


Create technical and functional designs of models that best support our pricing and revenue management product platform.

Help with the design, specification and hands-on development of complex demand modeling (forecasting and elasticity estimations) and pricing optimization solutions.

Provide on-going thought leadership to innovation of our methods and intellectual property.

Help develop processes and technology with the goal of radically cutting cycle time for simulation and optimization projects.

Represent MarketShare with clients as well as at industry events and selected scientific & trade forums as appropriate.

Invent and apply science-based math in new spaces such as real time pricing, addressable media, competitive dynamics and associated goal seeking optimization for stakeholders in the industry, as needed and if appropriate.


Bachelors or Master’s Degree(or equivalent combination of education and experience) in Statistics, Economics, Applied Mathematics, Industrial Engineering, or quantitative discipline, required.  Ph.D. or Masters in Operations Research preferred.

5 plus years experience in Statistics, Operations Research, or related field, integrating mathematical concepts with business principles.

Experience in developing demand forecasting, pricing models and revenue management algorithms, preferably in travel and entertainment space, with hands on knowledge of advanced operations research modeling techniques of forecasting and optimization. Experienced candidates from hotel, airlines, or real estate pricing and revenue management are encouraged to apply as well.

Proficiency with one or more statistical and optimization packages such as MATLAB (optimization toolbox), CPLEX, SAS, SPSS and S-plus/R. Expertise in SQL. Experience with Business Intelligence and Data Mining Applications is also helpful.

Good communication skills are a must (written/verbal).

Creative thinker - able to develop unique methods of analysis where traditional methods do not yield results.

Capability drive research and analysis initiatives from project design through product development.

Experience specifically in marketing engineering, mathematical economics is helpful.

Outside recruiters- please no contact. Unsolicited resumes not accepted