Lead Data Scientist, Marketing Advanced Analytics

Anonymous
Madrid, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
6 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Data Analysis Python (Programming Language) Machine Learning Recommender Systems SQL Databases Information Technology Data Analytics Programming Languages

Job description

HP Inc. is one of the world’s leading technology companies offering an incredible opportunity to grow, innovate, and make a meaningful impact in technology.We value creativity, personal and professional development, and a strong global presence.This role is ideal for a data science leader who can translate business needs into actionable insights and drive AI?driven marketing strategies.Role Description Someone who identifies business needs, aligns with key stakeholders, is passionate about problem solving through the power of ML and AI, seamlessly connects model findings to business strategy, and generates recommendations that fit business reality.Seen as a leader in Marketing and e Commerce data science, solves complex causal inference problems, has experience in test design and measurement, customer segmentation, recommendation systems, MTA, and MMM.Applies advanced subject matter knowledge to solve complex business issues, contributes innovative ideas, coaches less experienced staff, and leads several complex projects.Provides expert guidance and direction for process improvements and establishes policies.Frequently represents the organization to external customers/clients, exercises significant independent judgment, and maintains relationships with stakeholders.Responsibilities Proactively reviews technical literature, learns new methodology, and aligns with Data Science leaders.Works with Data Science leaders to develop innovative solutions to existing or new business challenges.Identifies business need, aligns with stakeholders, organizes analytics team, seamlessly connects model findings to business strategy, and generates recommendations that fit business reality.Defines and implements models to uncover patterns and predictions creating business value and innovation.Leads complex cross?organizational projects involving several Data Scientists.Provides guidance, training and mentoring to less experienced staff members.Provides domain?specific expertise in cross?organization projects/initiatives.Effectively collaborates with Managers, Directors, and senior executives.Develops clear presentations for senior decision makers including case for change, options, trade?offs and recommendation.Manages relationships with business partners to evaluate and foster data?driven innovation.Supports the people leader with skills assessment, feedback, hiring criteria/approach.Ties insights into effective visualizations communicating business value and innovation potential.Maintains proficiency within the data science domain by keeping up with technology and trend shifts; contributes to industry initiatives.Knowledge & Skills Extensive experience using statistics, mathematics, algorithms, and programming languages to solve business problems.Experience in test design and measurement, customer segmentation, cleanroom technology, MTA, and MMM.Ability to define and create complex models to pull valuable insights, predictions, and innovation from data.Effectively and creatively tell stories and create visualizations to describe and communicate data insights.Strong analytical and problem?solving skills.Proficient in Python and SQL.Excellent written and verbal communication skills; mastery in English.Ability to effectively communicate data insights and negotiate options at senior management levels.Education & Experience Bachelor’s, master’s or Ph. D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent.Typically 6-10 years of relevant work experience.Impact & Scope Leads complex, high?impact initiatives influencing global marketing investment decisions.Regular interaction with senior ICs, managers, directors, and executive leadership.Shapes how AI, experimentation, and analytics are operationalized across HP’s digital direct marketing ecosystem.#J-*****-Ljbffr

Requirements

Experience in test design and measurement, customer segmentation, cleanroom technology, MTA, and MMM. Ability to define and create complex models to pull valuable insights, predictions, and innovation from data. Effectively and creatively tell stories and create visualizations to describe and communicate data insights. Strong analytical and problem?solving skills. Proficient in Python and SQL. Excellent written and verbal communication skills; mastery in English. Ability to effectively communicate data insights and negotiate options at senior management levels. Education & Experience Bachelor’s, master’s or Ph. D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent. Typically 6-10 years of relevant work experience. Impact & Scope Leads complex, high?impact initiatives influencing global marketing investment decisions.

About the company

HP Inc. is one of the world’s leading technology companies offering an incredible opportunity to grow, innovate, and make a meaningful impact in technology., Regular interaction with senior ICs, managers, directors, and executive leadership. Shapes how AI, experimentation, and analytics are operationalized across HP’s digital direct marketing ecosystem. #J-*****-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · WWC 2025

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

Videos

See all

Related articles

See all