- Provide technical leadership, mentorship, and industry expertise to data scientists and analytics engineers, guiding high‑complexity modeling and solution design.
- Lead the development of analytics product packages aligned with product roadmaps or customer contracts, ensuring the end‑user experience maps to clear business use cases.
- Conduct research, perform advanced statistical and ML modeling, and drive the front‑end analytics user experience for customer‑facing solutions.
- Partner across cross‑functional analytics teams—including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers—to architect end‑to‑end analytics solutions.
- Evaluate and integrate emerging analytics technologies, new data sources, and modern ML/AI approaches to keep Epicor’s analytics offerings innovative and competitive.
- Develop and apply advanced models and algorithms to improve operations, enhance customer outcomes, and answer complex business questions.
- Mine and analyze large, complex, and unstructured datasets using sophisticated statistical methods to drive data‑informed decision‑making and product excellence.
- Collaborate with product operations leadership to ensure high availability, performance, and reliability of analytics solutions that meet or exceed contracted service levels.
- 9+ years’ experience building, deploying, and supporting large‑scale analytics, ML, or AI solutions.
- Advanced proficiency in Python, including expertise in building ML/AI models at scale.
- Experience with PyTorch, ML SDKs, and production‑grade machine learning frameworks.
- Strong background working with large datasets and architecting scalable data science solutions.
- Advanced analytical thinking, statistical and mathematical expertise, and skill in solving highly complex technical problems.
- Experience with SQL and/or Python for analytics, and exposure to database modeling and data‑warehousing concepts.
- Experience with front‑end analytics platforms such as MicroStrategy, Power BI, or Tableau.
- Experience implementing ML or data science routines in Python and/or R.
- Experience with GPU‑accelerated ML or deep learning workflows.
- Experience writing, interpreting, or applying ML/AI whitepapers or research findings.
- Ability to influence and lead cross‑functional technical decisions across finance, professional services, engineering, and product teams.
- Experience with big data pipelines and distributed compute environments.
- Strong capability in advanced data visualization and high‑volume BI tools such as Tableau or MicroStrategy.
#LI-HYBRID #LI-MB2
About Epicor
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.
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.
Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless.
We are an equal-opportunity employer.
Recruiter:
Matthew BradySkills Required
- 9+ years building, deploying, and supporting large-scale analytics, ML, or AI solutions
- Advanced proficiency in Python and experience building ML/AI models at scale
- Experience with PyTorch, ML SDKs, and production-grade machine learning frameworks
- Strong background working with large datasets and architecting scalable data science solutions
- Advanced analytical, statistical, and mathematical expertise for solving highly complex technical problems
- Experience with SQL and/or Python for analytics; exposure to database modeling and data-warehousing concepts
- Experience with front-end analytics platforms such as MicroStrategy, Power BI, or Tableau
- Experience implementing ML or data science routines in Python and/or R
- Technical leadership, mentorship, and ability to influence cross-functional technical decisions
- Experience partnering with DW engineers, ETL engineers, data production teams, SMEs, and customers to architect end-to-end analytics solutions
- Experience with GPU-accelerated ML or deep learning workflows
- Experience writing, interpreting, or applying ML/AI whitepapers or research findings
- Experience with big data pipelines and distributed compute environments
- Strong capability in advanced data visualization and high-volume BI tools
Epicor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Epicor and has not been reviewed or approved by Epicor.
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Healthcare Strength — Health coverage (medical, dental, vision) is characterized as decent to solid, complemented by wellness resources. Company materials highlight health and wellness programming alongside core plans.
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Leave & Time Off Breadth — Flexible or unlimited PTO exists in U.S. roles, and the organization emphasizes taking time to recharge. When team norms support it, the flexibility is considered a meaningful perk.
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Retirement Support — A 401(k) with company match is available as part of the standard offering. The match level is generally viewed as modest but serviceable.
Epicor Insights
What We Do
We’re the Digital Brains of Our Customers’ Operations We help businesses stay future-ready with cognitive ERP that connects 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.
Why Work With Us
Our policies are built on mutual trust, support, and a commitment to maintaining a healthy work-life balance. That's why we encourage you to take the time off you need to rest, recharge, and reconnect.
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