Principal Data Scientist - Pricing

HP; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A global technology company based in Madrid is seeking a Principal Data Scientist - Pricing to enhance its machine learning-based pricing model. This role involves designing automated workflows, integrating new data sources, and developing predictive models. The ideal candidate will have a strong background in data science, experience with Python, and familiarity with data engineering tools. This position provides an opportunity to work on innovative pricing automation, directly impacting the company's business performance.

Formación

• Strong background in data science, machine learning, and statistical modeling.
• Hands‑on experience with data engineering and automation.
• Proficiency in Python and common ML/data libraries.

Responsabilidades

• Design and implement automated workflows for data ingestion.
• Identify and onboard external and internal data sources.
• Design and lead implementation of experiments for pricing strategies.
• Build tools and dashboards to monitor data quality.
• Work closely with cross-functional teams for seamless integration.

Conocimientos

Data science

Machine learning

Statistical modeling

Python

Data engineering

Automation

ETL pipelines

Experimentation

Herramientas

Databricks

pandas

scikit-learn

Kafka

Flink

Descripción del empleo

Overview

About The Role : We are seeking a

Principal Data Scientist - Pricing

to join the team responsible for the operational excellence of HP’s 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 model’s response. Your work will directly enhance the responsiveness and accuracy of HP’s pricing strategy.

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 We’re 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 Python and 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 processing and streaming technologies (Kafka, Flink, etc.).

Strong understanding of ML model lifecycle management and production deployment.

Familiarity with A / B testing frameworks and experimental design.

Why Join Us?

You’ll have the opportunity to work on cutting‑edge ML operations at global scale, directly impacting HP’s 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.