Job Opportunity: Data Scientist for Digital Pricing at HP

Job Description

As a Data Scientist in the Pricing Analytics team at HP, you will shape the future of how we set prices. Join our dynamic, highly skilled, and diverse global team consisting of data scientists, economists, statisticians, computer scientists, and engineers. We are pushing the innovation frontier in how HP sets prices for its products. Your role will involve combining your modeling skills, economic/business thinking, experimentation, and optimization methods to develop complex pricing algorithms for HP’s most popular Printers and PCs.

About You

• You have a deep interest in customer and market behavior and methods to measure and anticipate it.
• You are passionate about unveiling answers to the most challenging questions using data and models.
• You feel accomplished seeing your pricing recommendations being implemented while shopping for yourself.
• You cannot 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 on 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 modeling challenges.
• Ability to build and interpret complex regression models, with machine learning experience being 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 key concepts from industrial organization literature.
• Basic understanding of finance and product economics.

Additional Information

Job Title: Data Scientist for Digital Pricing

Job Schedule: Full Time

Shift: No shift premium (United States of America)

Travel: Not required

Relocation: Not available

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunities 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 any requested information. This information is provided voluntarily and 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:

Explore a Fulfilling Career with HP

Ready to drive innovation in pricing analytics? Apply now to be part of HP's journey in shaping the future of pricing strategies for leading products in the market.