Data Scientist

• Harness the power of AI, machine learning, and advanced analytics to uncover insights from large, complex, and diverse datasets.
• Build predictive and prescriptive models that help business leaders make smarter, faster decisions.
• Develop innovative solutions using machine learning, deep learning, natural language processing, and generative AI technologies.
• Partner with engineering, product, and business teams to create scalable data products and intelligent automation solutions.
• Transform analytical findings into compelling stories that inspire action and help stakeholders understand the "why" behind the data.
• Create impactful data visualizations, dashboards, and presentations tailored for both technical and executive audiences.
• Lead data science initiatives from discovery through deployment, ensuring measurable business outcomes.
• Mentor and guide fellow data scientists while helping build a culture of continuous learning and innovation.
• Continuously explore emerging AI technologies, industry trends, and advanced analytical methods to keep HP at the forefront of innovation.

• Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
• 3+ years of experience in data science, machine learning, analytics, or statistical modeling.
• Strong programming skills in Python, SQL, R, or related technologies.
• Experience working with large-scale structured and unstructured datasets.
• Ability to communicate complex technical concepts through clear, compelling storytelling.

• Experience with Generative AI, Large Language Models (LLMs), AI-powered analytics, or intelligent automation solutions.
• Experience deploying machine learning models into production environments.
• Cloud experience with AWS and big data technologies such as Apache Spark.
• Experience mentoring team members or leading analytics projects.
• Professional certifications in Python, SQL, AI, Machine Learning, or Cloud technologies.

We are particularly interested in candidates with experience in:

• Artificial Intelligence and Machine Learning
• Generative AI and Large Language Models
• Predictive and Statistical Modeling
• Data Mining and Big Data Analytics
• Python, SQL
• Data Visualization
• Cloud Analytics Platforms (AWS)
• Data Pipeline Development and Data Engineering Collaboration

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.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"