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Data Scientist

HP | Posted 12-03-2021

Zapopan (Marketing y Publicidad)

Data Scientist

As Data Scientist in the Pricing Analytics team you will shape HP’s future of how we set prices. We are a very dynamic, highly skilled and diverse global team consisting of economists, statisticians, engineers, scientists or even musicians, who are pushing the innovation frontier in pricing. Working with us you will combine your economic thinking, statistical modeling, experimentation and optimization methods to build complex pricing algorithms for most popular Printers and PCs in the market.

About you:

< >You have deep interests in customer and market behavior and methods to measure and anticipate it.You are passionate about unveiling answers to most difficult questions using data and models.You feel accomplished seeing your pricing recommendations being implemented while shopping for yourself You can’t stop thinking about learning something new every day and enjoy being surrounded by highly talented people.

Key responsibilities:

< >Develop and apply statistical methods and experimentation to analyze the effect of pricing and sales decisions on business performance.Collaborate with internal stakeholders to design and deploy pricing initiatives based upon analytical findings.Present results and recommendations to relevant stakeholders, including senior leadership.



< >At least 7 years’ working experience in data science, ideally in a consumer-focused setting.Proficiency with Python and/or R is required.Experience creating and using statistical techniques and machine learning algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, etc.Experience visualizing/presenting data to stakeholders.Experience in designing, deploying, and analyzing in-market experiments and/or AB tests.Ability to think creatively and invent original solutions to business and modelling challenges.Excellent written and verbal communication skills with an ability to influence key decision makers.Master's or PhD degree in Quantitative Marketing, Business, Statistics, Economics, Psychology, or other relevant quantitative discipline.

Bonus points for:

< >Interest in pricing, economics, and consumer behavior.Experience in deploying data science in a retail environment.Understanding of CRM and customer segmentation.Knowledge of price optimization approaches, price discrimination models and a general knowledge of main concepts from the industrial organization literature.Basic understanding of finance and product economics.Experience in project and/or product management.

Reinventing since 1939. We are one of the leading Print and Personal Systems technology companies in the world and our vision is to create technology that makes life better for everyone, everywhere. Joining HP is joining an adventure to reinvent the tech world and reinvent yourself every day!