Data scientist for digital pricing

Data scientist for digital pricingDescription -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 data scientists, economists, statisticians, computer scientists and engineers, who are pushing the innovation frontier in the way HP sets prices for its products. Working with us you will combine your modelling skills, economic/business thinking, 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 behaviour 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 data science and statistical methods and experimentation to analyze the effect of pricing and sales decisions on business performance Prototype pricing algorithms and work with machine learning engineers to efficiently scale algorithms to multi-product and multi-market contexts Collaborate with internal stakeholders to design and deploy pricing initiatives based upon analytical findings Present results and recommendations to relevant stakeholders, including senior leadership  Requirements: Must-haves: At least 5 years’ working experience in data science, including graduate coursework Theoretical and applied skills in Machine Learning and Statistics/Econometrics 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 Ability to build and interpret complex regression models, with machine learning experience a plus Proficiency with Python or R Working knowledge of SQL Master's or PhD degree in Economics, Computer Science, Engineering, Mathematics, Physics or related disciplines  Bonus points for: Interest in pricing, economics, and consumer behavior Experience in deploying ML and data science solutions  Experience developing and deploying bandit-style algorithmsKnowledge of discrete choice demand estimation strategies including BLP and mixed logit. 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 Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.