AI Data Scientist
HP · Spring, Texas, United States of America ·
- Work mode
- Onsite
- Employment
- Full time
- Category
- Data science
- Experience
- 5+ years
HP · Spring, Texas, United States of America ·
Description -
About the Position
The HP Enterprise AI & Machine Learning organization 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. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP’s AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.
As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you’ll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.
Responsibilities
• Delivers Generative AI-based models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
• Strategizes models to uncover patterns and predictions creating business value and innovation.
• Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Represents the data science team for all phases of larger and more-complex development projects.
• Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended
Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
Strong foundation in data science and core machine learning concepts.
Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.
Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.
Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.
Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.
Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.
Able to explain technical concepts (e.g., LLMs) to non-technical audiences.
You suggest pragmatic solutions that are as simple as possible—even if that means no AI is required.
The base pay range for this role is $130,700 to $205,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US 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;
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 TechnologySchedule -
Full timeShift -
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"