AI Data Scientist – Enterprise AI

Key Responsibilities

• Design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI technologies, machine learning, and predictive analytics.
• Develop data pipelines, feature engineering approaches, and analytical workflows that support AI solution development.
• Research new AI methods, tools, and frameworks and determine their applicability to business problems across enterprise operations.
• Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
• Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making.
• Translate business requirements into technical approaches and clearly communicate AI concepts to both technical and non-technical audiences.
• Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement.
• Collaborate with distributed teams of engineers, data scientists, product owners, business leaders, and other technology organizations to deliver impactful solutions.
• Contribute to AI best practices, reusable frameworks, and technical standards across the organization.

Required Qualifications

• 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.
• Strong analytical skills with 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 Qualifications

• 5+ years of experience developing AI, machine learning, and data science solutions in an industry setting.
• Experience developing AI solutions in cloud environments such as Azure, AWS, or GCP.
• Proficiency using software development tools such as version control (e.g. Github) and AI-assisted development tools (e.g. Github Copilot).
• Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents.
• Familiarity with MLOps, model monitoring, observability, and enterprise AI governance concepts.
• Experience communicating technical concepts to business stakeholders.
• Experience working in highly collaborative, matrixed organizations.

Core Competencies

• Applied AI & Machine Learning
• Large Language Models (LLMs) & Generative AI
• Data Science & Statistical Analysis
• Enterprise Problem Solving
• Experimentation & Model Evaluation
• Communication & Storytelling
• Cross-Functional Collaboration
• Ownership & Accountability

Pay & Benefits

The pay range for this role is $130,700 to $205,200 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 Benefits knowledge, skills, and experience. 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: https://hpbenefits.ce.alight.com/