Data Scientist, Data Science (GTM Advanced Analytics) page is loaded Data Scientist, Data Science (GTM Advanced Analytics) Apply locations Tlaquepaque, Jalisco, Mexico Bogota, Colombia time type Full time posted on Posted 30+ Days Ago job requisition id 3119819 Data Scientist, Data Science (GTM 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. 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. Maintains relationship with all stakeholders in scoped domain.
Responsibilities Demonstrates ability to pick a ML technique that best suits the business problem Defines and implements models to uncover patterns and predictions creating business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Works with product management and project leaders to connect model findings with business strategy and generate recommendations that fit project requirements. Brings domain specific literature and industry insights to drive innovation. Provides domain-specific expertise in cross-organization projects/initiatives. 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. 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, 3-6 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!
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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'sEEO 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
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