Lead Data Scientist, Marketing Advanced Analytics

Description

Are you ready to take your career to the next level? HP Inc. is looking for an exceptional talent like you to join our dynamic team. As one of the world's leading technology companies, HP Inc. offers an incredible opportunity to grow, innovate, and make a meaningful impact in the world of technology. We believe that our company is the perfect place for you to excel, learn, and thrive.

At HP Inc., innovation is not just a buzzword; it is in our DNA. We have a rich history of pioneering technology, from the invention of the inkjet printer to leading the way in 3D printing and sustainable computing. Joining HP Inc. means becoming part of a company that values creativity and empowers you to push the boundaries of what is possible.

HP Inc. operates in over 170 countries, and our products and solutions touch the lives of billions of people. By joining us, you will have the chance to work on projects with a global reach, collaborating with diverse teams from around the world.

At HP Inc., we are committed to your personal and professional development. We provide ongoing training and educational opportunities to help you continuously improve your skills. With our strong internal mobility program, you will have the chance to explore various roles and advance within the company.

Let us present you with the job description:

Someone who identifies business needs, aligns with key stakeholders, passionate about problem solving through 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 eCommerce data science and solves complex causal inference problems. Has experience in test design and measurement, customer segmentation, recommendation system, MTA (Multi Touch Attribution), and MMM (Marketing Mix Model).

Someone who applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of innovative ideas and

methods, coaches the less experienced staff members, and leads several complex projects. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Acts as an expert providing direction and guidance to process improvements and establishing policies.

Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine the best method for accomplishing work and achieving objectives. Maintains relationship with all stakeholders in scoped domain.

Responsibilities

• Proactively reviews technical literature, learns a new methodology and aligns with Data Science leaders.
• Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.
• Identifies business need, aligns with key 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 project, which involves 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, EXEC2s and EXEC3
• 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, provide domain-specific expertise in cross-organization projects/initiatives.
• Supports their 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 data science domain 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
• In conclusion, joining HP Inc. means joining a company that has a rich history, values innovation, fosters career growth, and is committed to making a positive impact on the world. If you are ready to be part of a team that is shaping the future of technology and the world, we invite you to consider HP Inc. as your next career destination.
• Do not miss this opportunity to be part of something extraordinary. Apply today and let us innovate, create, and inspire together at HP Inc.
• Are you ready to take the first step towards an exciting future with HP Inc.? Join us today and let us make it happen together!
• 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.
• Job -
• Marketing
• Schedule -
• Full time
• Shift -
• No shift premium (Spain)
• Travel -
• Relocation -
• No