Senior Data Scientist

Epicor • Lehi, UT

11h • Hybrid

About The Position

As a Senior Data Scientist at Epicor, you will be a key contributor in designing, building, and deploying high‑impact ML and AI solutions that empower our customers and accelerate product innovation. You will architect machine learning systems, develop models at scale, and shape the end‑to‑end technical strategy that powers Epicor’s analytics and intelligence platform. You will partner closely across engineering, product, and business teams to ensure our ML solutions deliver measurable value. We are seeking applicants with deep technical expertise, strong problem‑solving instincts, and a passion for driving innovation with data At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners . Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

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.

Nice To Haves

• Experience with GPU‑accelerated 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 data‑driven initiatives.

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.

Benefits

• Competitive Pay & Benefits
• Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
• Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
• Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
• Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
• Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
• Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
• Global Mobility: Comprehensive support for international relocations and permanent residency processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed