AI Product Analyst

S&P Global - Austin, TX

Full-time - Mid Level

Austin, TX

10,001+ employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The AI Product Analyst will play a crucial role in bridging the gap between AI technology and product development. This position focuses on analyzing, evaluating, and enhancing AI-driven products, ensuring they align with business goals and deliver a seamless user experience. The analyst will collaborate with users, data scientists, engineers, and product managers to drive product innovation and improvement.

Responsibilities

• Work with cross-functional teams to define and refine product requirements for AI-driven features and capabilities.
• Assess data and potential AI models and recommend solutions based on product and business goals.
• Evaluate the accuracy of AI models and recommend improvements based on product metrics, user feedback, and business objectives.
• Use Python and other programming tools to conduct data analysis, build prototypes, and test hypotheses related to AI product features.
• Stay informed on the latest AI trends, tools, and model architectures, providing insights to influence the product roadmap.
• Serve as a liaison between data scientists, engineers, and product managers to ensure AI models meet usability, scalability, and accuracy requirements.
• Analyze user interaction with AI features, gather feedback, and work with product teams to incorporate improvements.
• Develop clear documentation and guidelines for AI features to facilitate understanding and alignment across teams.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, AI, or a related field.
• 2+ years of experience as a Data Scientist, Data Analyst, AI Product Analyst, or similar role with a focus on AI-driven products.
• Strong understanding of AI/ML concepts, including deep learning, NLP, and computer vision.
• Hands-on experience with AI model evaluation and troubleshooting.
• Proficient in Python, with experience using libraries like Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch.
• Experience in data manipulation, data visualization, and statistical analysis.
• Ability to understand business needs, prioritize features, and evaluate trade-offs between performance and user requirements.
• Proven ability to stay up-to-date with the latest AI advancements and integrate those insights into product planning.
• Strong written and verbal communication skills, with the ability to translate technical details into business implications and vice versa.

Benefits

• Health insurance
• Referral program
• Flexible downtime
• Continuous learning
• Invest in your future
• Family friendly perks
• Beyond the basics