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Strong fit if you want applied AI at a large PC and printing company, prefer on-site Houston work, and can ship models that support real products and operations rather than only academic research.
As an AI Data Scientist at HP in Houston, expect to frame product and operations questions as data problems, build and evaluate models, and partner with engineering and business teams so insights support PCs, printing, and related digital services—not pure research in isolation.
Prioritize applied ML and statistics, Python data stacks, experiment design, and clear communication of model risk and business impact. Domain familiarity with device telemetry, manufacturing/quality data, or customer-support analytics is often useful in hardware-centric firms. No certification list was supplied for this posting.
The listing marks remote as no; work is tied to Houston, Harris County.
HP Inc. develops PCs, printers and supplies, and 3D printing services, with headquarters in Palo Alto.
No certification family or resources were provided for this job data package.
Website: himachal.nic.in
HP Inc. is an American multinational information technology company with its headquarters in Palo Alto, California, that develops personal computers (PCs), printers and related supplies, as well as 3D printing services. It is the world's second-largest personal computer vendor by unit sales after Lenovo and ahead of Dell as of 2024.
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AI Data Scientist at HP - Houston, Harris County About This Position The AI & Machine Learning organization at HP is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000 employees and improve the effectiveness of hundreds of critical business processes. As an AI Data Scientist, you will collaborate closely with business stakeholders to drive innovation and deliver impactful solutions. Key Responsibilities Analyze large datasets to identify patterns and insights that can be used for product development and process improvement. Develop and implement machine learning models to enhance the efficiency of various business processes. Create and maintain data pipelines and ensure the quality and integrity of data inputs. Collaborate with cross-functional teams to define, design, and execute experiments and prototypes. Who We're Looking For Master's degree in Computer Science, Statistics, Mathematics, or a related field; Ph.D. preferred. Experience with machine learning algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with data preprocessing techniques, feature engineering, and model evaluation metrics. Strong programming skills in Python, R, or similar languages. Excellent communication and collaboration skills to work effectively with business stakeholders. More About HP HP is a global leader in technology that enables people and organizations to get big things done. With a focus on innovation and sustainability, we strive to create value for our customers, employees, shareholders, and the communities where we operate. Our mission is to bring technology to life for all, making it accessible, useful, and impactful. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. Please ensure that your resume and cover letter are up-to-date and highlight relevant experience in data science and machine learning. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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