Senior Data Scientist

• Architect and develop scalable ML and AI solutions, aligning model design and deployment with product and customer needs.
• Build, train, and optimize machine learning models using Python, ML frameworks, and largescale data pipelines.
• Leverage PyTorch, ML SDKs, and GPUaccelerated workflows to support advanced model development and experimentation.
• Work with large, complex datasets to design robust feature engineering, data processing, and model evaluation approaches.
• Collaborate crossfunctionally with engineering, analytics, finance, and professional services stakeholders to deliver endtoend ML solutions.
• Participate in the design of ML system architecture, ensuring reliability, quality, and operational efficiency.
• Research emerging AI/ML technologies and integrate new capabilities that strengthen Epicor's longterm data science strategy.

What you will likely bring:

• 6+ years' experience building, deploying, and supporting largescale analytics, ML, or AI solutions.
• Advanced proficiency in Python, including development of productiongrade ML models.
• Experience with PyTorch, ML SDKs, and modern machine learning frameworks.
• Demonstrated success working with large datasets and architecting scalable data science workflows.
• Experience designing ML system architecture and endtoend data science solutions.
• Applied analytics experience with strong analytical thinking and problemsolving skills.
• Experience collaborating across technical and nontechnical teams to drive MLdriven outcomes.

What could set you apart:

• Experience with GPUaccelerated ML workflows.
• Familiarity with R for data science or analytics research.
• Experience writing or interpreting ML/AI whitepapers or applied research.
• Exposure to big data pipelines and distributed compute environments.
• Background collaborating with finance or professional services teams on datadriven initiatives.