- Analyze structured and unstructured datasets to identify trends, answer business questions, and support data-informed decision-making.
- Develop, test, and refine statistical and analytical models with support from more experienced team members.
- Contribute to analytics capabilities aligned with product roadmaps, customer needs, and defined business use cases.
- Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and other stakeholders to develop end-to-end analytical solutions.
- Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation.
- Evaluate new data sources and analytical methods that may support product or business needs.
- Document analytical approaches, communicate findings, and support the deployment and ongoing improvement of data science solutions.
- 2–4 years’ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience.
- Working knowledge of Python and SQL for data analysis, data preparation, modeling, and visualization.
- Understanding of statistical methods, model evaluation, and analytical problem-solving.
- Experience working with datasets to identify patterns, test hypotheses, and communicate actionable findings.
- Familiarity with database concepts, data warehousing, or data-processing workflows.
- Strong written and verbal communication skills, with the ability to explain findings to technical and nontechnical stakeholders.
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience.
- Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI.
- Experience using Python libraries such as pandas, NumPy, scikit-learn, or similar analytical tools.
- Exposure to AI or machine-learning tools, frameworks, application programming interfaces, or cloud-based AI services.
- Experience applying AI or machine learning to practical business, product, or customer use cases.
- Exposure to R or other data science and statistical tools.
- Experience with data-visualization or business-intelligence tools such as Power BI, Tableau, or MicroStrategy.
- Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows.
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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.
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.
Range:
Minimum: $94,000 USD Maximum: $151,000 USDThe salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.
Recruiter:
Matthew BradySkills Required
- 2-4 years' experience in data science, analytics, statistical modeling, or related field
- Working knowledge of Python for data analysis, preparation, modeling, and visualization
- Working knowledge of SQL for data analysis and data preparation
- Understanding of statistical methods, model evaluation, and analytical problem-solving
- Experience working with datasets to identify patterns, test hypotheses, and communicate findings
- Familiarity with database concepts, data warehousing, or data-processing workflows
- Strong written and verbal communication skills to explain findings to technical and nontechnical stakeholders
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or related field, or equivalent practical experience
- Experience or coursework in AI, machine learning, or generative AI (preferred)
- Experience with Python libraries such as pandas, NumPy, scikit-learn (preferred)
- Experience with data-visualization or BI tools such as Power BI, Tableau, or MicroStrategy (preferred)
- Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows (preferred)
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
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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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