HP Inc.

Technology

LeadDataScientist,DataScience

Tlaquepaque, Jalisco, Mexico FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Scientist, Data Science at HP Inc.. Skills: Machine Learning, AI, Causal inference, Data Science. Identify business needs. Align with key stakeholders”

What You'll Achieve.

Generates recommendations that fit business reality; Creates business value and innovation; Shapes how AI, experimentation, and analytics are operationalized

Industry & Context.

Technology
Problems you'll solve

Passionate about problem solving; Solves complex causal inference problems; Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors; Analytical and problem-solving skills

What They're Looking For.

Must Have

Bachelor's, master's or Ph. D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent, 6-10 years of relevant work experience, Proficient in Python, Proficient in SQL

Nice to Have

Ph. D. degree

What You'll Do.

Identify business needs

Align with key stakeholders

Solve complex causal inference problems

Apply advanced subject matter knowledge

Develop innovative ideas

Coach less experienced staff

Lead complex projects

Define and implement models

Generate recommendations

Develop presentations

Tie insights into visualizations

Contribute to initiatives

How You'll Work.

Team & Collaboration

Aligns with key stakeholders; Works with Data Science leaders; Leads complex cross-organizational project; Provides domain-specific expertise; Effectively collaborates with Managers, Directors, EXEC2s and EXEC3; Maintains relationship with all stakeholders; Supports their people leader; Collaborating with diverse teams

Communication Scope

Effectively and creatively tell stories; Create visualizations; Excellent written and verbal communication mastery in English; Effectively communicate data insights; Negotiate options at senior management levels; Develops clear presentations for senior decision makers

Process & Methodology

Leads complex cross-organizational project, Leads several complex projects

Full Job Description

Lead Data Scientist, Data Science **Description -** **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 i

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