Lead Data Scientist, Data Science

Lead Data Scientist, Data Science

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.

Job Description:

We are seeking a Data Scientist who identifies business needs, aligns with key stakeholders, and is passionate about problem solving through the power of ML and AI. This role requires someone who can seamlessly connect model findings to business strategy and generate recommendations that fit business reality. You will be seen as a leader in Marketing and eCommerce data science, solving complex causal inference problems. Experience in test design and measurement, customer segmentation, recommendation systems, MTA (Multi Touch Attribution), and MMM (Marketing Mix Model) is essential.

This role involves applying advanced subject matter knowledge to solve complex business issues and being regarded as a subject matter expert. You will frequently contribute to the development of innovative ideas and methods, coach less experienced staff members, and lead several complex projects. You will work on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Your expertise will provide direction and guidance to process improvements and establish policies.

You will frequently represent the organization to external customers/clients and exercise significant independent judgment within broadly defined policies and practices to determine the best method for accomplishing work and achieving objectives. Maintaining relationships with all stakeholders in the scoped domain will be crucial.

Responsibilities:

1. Proactively review technical literature, learn new methodologies, and align with Data Science leaders.
2. Work with Data Science leaders to develop innovative solutions to existing or new business challenges.
3. Identify business needs, align with key stakeholders, organize the analytics team, connect model findings to business strategy, and generate actionable recommendations.
4. Define and implement models to uncover patterns and predictions that create business value and innovation.
5. Lead complex cross-organizational projects involving several Data Scientists.
6. Provide guidance, training, and mentoring to less experienced staff members.
7. Provide domain-specific expertise in cross-organization projects/initiatives.
8. Effectively collaborate with Managers, Directors, EXEC2s, and EXEC3.
9. Develop clear presentations for senior decision makers, including cases for change, options, trade-offs, and recommendations.
10. Manage relationships with business partners to evaluate and foster data-driven innovation.
11. Support your people leader with skills assessment, feedback, and hiring criteria/approach.
12. Tie insights into effective visualizations that communicate business value and innovation potential.
13. Maintain proficiency within the data science domain by keeping up with technology and trend shifts and contributing to industry data science initiatives.

Knowledge & Skills:

1. Extensive experience using statistics, mathematics, algorithms, and programming languages to solve business problems.
2. Experience in test design and measurement, customer segmentation, cleanroom technology, MTA, and MMM.
3. Ability to define and create complex models to extract valuable insights, predictions, and innovation from data.
4. Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
5. Strong analytical and problem-solving skills.
6. Proficient in Python and SQL.
7. Excellent written and verbal communication skills; mastery in English.
8. Ability to effectively communicate data insights and negotiate options at senior management levels.

Education & Experience:

1. Bachelor's, master's, or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
2. 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!

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Mexico)

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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement