Principal Data Scientist Pricing

Barcelona - Spain

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Principal Data Scientist - Pricing

Description -

About the Role

We are seeking a Principal Data Scientist - Pricingto join the team responsible for the operational excellence of HPs worldwide machine learning-based pricing model. This model determines optimal prices for hundreds of thousands of products every day driving critical business decisions across global markets.

As part of this team you will lead the automation integration of new data sources and the development of predictive models that enable continuous experimentation and rapid insights into market dynamics. You will play a key role in minimizing the latency between changes in market conditions and the pricing models response. Your work will directly enhance the responsiveness and accuracy of HPs pricing strategy

Key Responsibilities

Data Pipeline Automation:Design and implement automated workflows for data ingestion transformation and integration to support continuous model retraining.
New Data Source Integration:Identify and onboard external and internal data sources that provide faster signals of market and competitive changes.
Experimentation & A/B Testing:Design and lead implementation of experiments to evaluate the impact of new pricing strategies and drive further developments of the pricing algorithm
Monitoring & Diagnostics:Build tools and dashboards to monitor data quality latency and model health.
Cross-Functional Collaboration:Work closely with engineering business and data science teams to ensure seamless integration of new capabilities into production systems.

What Were Looking For

Strong background in data science machine learning and statistical modeling.
Hands-on experience with data engineering and automation(ETL pipelines workflow orchestration).
Proficiency in Pythonand common ML/data libraries (e.g. pandas scikit-learn).
Familiarity with Databricks
Excellent problem-solving skills and ability to work in a fast-paced global environment.

Preferred Qualifications

Experience in pricing or revenue optimization for B2B businesses.
Knowledge of real-time data processingand streaming technologies (Kafka Flink etc.).
Strong understanding of ML model lifecycle managementand production deployment.
Familiarity with A/B testing frameworksand experimental design.

Why Join Us

Youll have the opportunity to work on cutting-edge ML operations at global scale directly impacting HPs pricing strategy and business performance. This role offers a mix of data science engineering and innovation with room to grow and shape the future of pricing automation.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Spain)

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.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal

Required Experience:

Staff IC

Principal Data Scientist - PricingDescription -About the RoleWe are seeking a Principal Data Scientist - Pricingto join the team responsible for the operational excellence of HPs worldwide machine learning-based pricing model. This model determines optimal prices for hundreds of thousands of product...