
Principal AI Data Scientist
HP France
full-time
Posted on:
Location Type: Office
Location: Spring • Texas, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $146,650 - $225,850 per year
Job Level
Lead
Tech Stack
AzureCloudDockerPythonSQL
About the role
- Leads organization-wide team or teams of other data science professionals in complex projects to create GenAI-based models and digital products.
- Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
- Manages relationships with senior 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.
Requirements
- Recommended PhD related to AI and 5+ years of experience or Master’s degree related to AI and 10+ years of experience.
- Relevant experience must involve Generative AI and related technologies including machine learning, data analytics, and statistical modeling.
- Programming Language/s Certification (SQL, Python, or similar).
- Strong foundation in data science and core machine learning concepts.
- Experience with large language models, multi-modal models, 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.
- Mastery of English is required.
- Able to explain technical concepts (e.g., LLMs) to non-technical audiences.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Generative AImachine learningdata analyticsstatistical modelinglarge language modelsmulti-modal modelsprompt engineeringvector databasesRetrieval-Augmented Generationsoftware development
Soft skills
leadershipcommunicationmentoringcollaborationrelationship managementinnovationtrainingproblem-solvingvisualizationcross-organization collaboration
Certifications
PhD in AIMaster’s degree in AIProgramming Language Certification (SQL, Python)