Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
HP France

AI Data Scientist – Enterprise AI

HP France

AI Data Scientist developing LLM, Generative AI, and machine learning solutions for HP’s enterprise operations. Building scalable models, pipelines, and experiments that deliver measurable business value.

Posted 8/5/2026full-timeAustin • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $130,700 - $205,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI-powered solutions, utilizing machine learning, predictive analytics, and data engineering techniques. Proficient in translating complex technical concepts for diverse audiences and fostering collaboration across teams to drive AI solution adoption.

Highest-signal resume keywords
AI Solution DevelopmentMachine Learning ExpertisePython ProficiencyData Pipeline DevelopmentModel Evaluation and Validation

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningPredictive AnalyticsData EngineeringFeature EngineeringModel EvaluationSQLSparkDatabricksAI/ML LibrariesExperimentation Methodologies
Soft Skills
Effective CollaborationCommunication Skills
Tools & Technologies
AzureAWSGCPGitHubGitHub Copilot
Industry Keywords
Artificial IntelligenceData ScienceEnterprise AI GovernanceMLOpsAI Best Practices

Tech Stack

Tools & technologies
AWSAzureGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, and deploy AI-powered solutions using LLMs, Generative AI, machine learning, and predictive analytics
  • Develop data pipelines, feature engineering approaches, and analytical workflows
  • Research AI methods, tools, and frameworks for enterprise operations business problems
  • Design and execute experiments evaluating model effectiveness, accuracy, robustness, and operational performance
  • Analyze large-scale structured and semi-structured datasets to generate insights and build predictive models
  • Translate business requirements into technical approaches and communicate AI concepts to technical and non-technical audiences
  • Support AI solution adoption through training, demonstrations, documentation, and stakeholder engagement
  • Collaborate with engineers, data scientists, product owners, business leaders, and technology organizations
  • Contribute to AI best practices, reusable frameworks, and technical standards

Requirements

What you’ll need
  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field
  • 3+ years of experience developing AI, machine learning, and data science solutions
  • Proficiency in Python and modern AI/ML libraries and frameworks
  • Experience with model evaluation, experimentation, performance measurement, and validation methodologies
  • Experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies
  • Ability to collaborate effectively in culturally diverse and distributed teams
  • Preferred: 5+ years of industry experience developing AI, machine learning, and data science solutions
  • Preferred: Experience with Azure, AWS, or GCP
  • Preferred: Version control tools such as GitHub and AI-assisted development tools such as GitHub Copilot
  • Preferred: Experience with RAG, prompt engineering, and AI agents
  • Preferred: Familiarity with MLOps, model monitoring, observability, and enterprise AI governance
  • Preferred: Experience communicating technical concepts to business stakeholders
  • Preferred: Experience working in highly collaborative, matrixed organizations

Benefits

Comp & perks
  • Bonus and/or equity opportunities for United States of America candidates
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave