About the position
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 analyse 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
Requirements
Must-haves:
At least 5 years’ working experience in data science
Theoretical and applied skills in Machine Learning and Statistics/Econometric
Experience in designing, deploying, and analysing in-market experiments and/or AB tests
Ability to think creatively and invent original solutions to business and modelling challenges
Proficiency with Python or R
Master's or PhD degree in Economics, Computer Science, Engineering, Mathematics, Physics or related disciplines
Bonus points for:
Interest in pricing, economics, and consumer behaviour
Experience in deploying ML and data science solutions
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
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