Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Senior Data Scientist at Epicor responsible for designing, building, and deploying ML solutions that empower customers. Collaborating across teams to ensure ML solutions deliver measurable value.
Responsibilities
- 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 large‑scale data pipelines.
- Leverage PyTorch, ML SDKs, and GPU‑accelerated 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 cross‑functionally with engineering, analytics, finance, and professional services stakeholders to deliver end‑to‑end 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 long‑term data science strategy.
Requirements
- 6+ years’ experience building, deploying, and supporting large‑scale analytics, ML, or AI solutions.
- Advanced proficiency in Python, including development of production‑grade 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 end‑to‑end data science solutions.
- Applied analytics experience with strong analytical thinking and problem‑solving skills.
- Experience collaborating across technical and non‑technical teams to drive ML‑driven outcomes.
Benefits
- Comprehensive health and wellness benefits designed to support your overall well-being.
- Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
- Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
- Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
- Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
- Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
- Comprehensive support for international relocations and permanent residency processes.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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