Data Scientist

Data Scientist Description -

Turn Data Into Stories. Turn AI Into Impact.

At HP, we believe data is more than numbers. It's a story waiting to be uncovered. Every dataset contains insights that can improve customer experiences, accelerate innovation, and shape the future of technology. We are seeking a Data Scientist who combines technical expertise, business curiosity, and storytelling skills to transform complex data into compelling narratives that drive action.

As part of HP's data science community, you will work at the forefront of Artificial Intelligence, Machine Learning, and Advanced Analytics, applying cutting-edge techniques to solve meaningful business challenges. You'll partner with cross-functional teams to discover opportunities, build intelligent solutions, and communicate insights that influence strategy across the organization.

What You'll Do

As a Data Scientist at HP, you will:

• 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.

What We're Looking For

You are a data-driven problem solver who is equally comfortable building models, exploring new AI capabilities, and presenting findings to senior leaders.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Technical Expertise

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

What Sets You Apart

You don't just analyze data. You tell its story.

You have the ability to connect technical insights to business outcomes and communicate recommendations in ways that inspire action. You thrive in a collaborative environment, are energized by solving complex problems, and embrace emerging AI technologies as tools for innovation and growth.

Why HP?

At HP, you'll help shape the future through technology, data, and AI. You'll work alongside talented innovators who are solving meaningful challenges for customers around the world. We offer a culture built on inclusion, curiosity, and continuous learning, empowering you to grow your career while making a measurable impact.

The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) 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.

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"