Data Scientist

Data Scientist for Digital Pricing

Description -

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
• Master's or PhD degree in Economics, Computer Science, Engineering, Mathematics, Physics or related disciplines
• Proficiency with Python or R
• Working knowledge of SQL
• 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

​​Bonus points for:

• Interest in pricing, economics, and consumer behavior
• Experience in deploying ML and data science solutions
• Experience developing and deploying bandit-style algorithms
• Knowledge 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

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Job -

Software

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement