The Infor Decision Analytics and Science (IDEAS) team is responsible for setting the AI/ML strategy at Infor. Our industry-specific Augmented Intelligence (AI) solutions suite in Asset, Forecast, Customer, Pricing, People, and Operational Intelligence domains provides rapid and measurable value to enterprise customers. In pursuit of advancing our pricing solutions for enterprise customers, IDEAS is currently seeking a Principal Scientist. This pivotal role demands both strategic leadership and technical expertise. Your contributions will be instrumental in crafting highly automated, robust, reusable, explainable, user-friendly, and self-serviced algorithmic solutions that can be swiftly deployed and managed at scale.

A Day in The Life Typically Includes:

• Define the vision, roadmap, and priorities for the pricing intelligence solution.
• Advance design, development, testing, and deployment of pricing algorithms.
• Develop quality code in Python adhering to common software development processes such as unit and functional testing, version control, code reviews, CI/CD, and documentation.
• Build expertise to package and deploy augmented intelligence solutions using Infor OS.
• Extract, process, model, and conduct an in-depth evaluation of enterprise datasets to extract actionable insights that provide value to our customers.
• Design, execute, analyze, and interpret experiments and investigations.
• Navigate ambiguous or incomplete business problems and guide the process of formulating them into clear functional and technical requirements for improving enterprise outcomes.
• Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.

Basic Qualifications:

• Experience in developing and implementing pricing analytics, and revenue management solutions for enterprise customers.
• Software development experience in Python, PySpark, and SQL and familiarity with scientific libraries commonly used in statistical analysis, machine learning, and optimization.
• Experience with software development environments such as VSCode, and version control using Git and CI/CD pipelines.
• Experience with data models and relational databases.
• Experience with large datasets and data analysis with Tableau, Power BI, or similar BI tools.

Preferred Qualifications:

• PhD or Master's in Economics, Statistics, Mathematics, Computer Science, Operations Research, or a related quantitative discipline from an accredited university.
• Experience in system design, batch, and real-time architectures, model management, and MLOps.
• Bonus points for task management with JIRA.