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About the Role

As a Data Scientist at Epicor, you will help turn data into meaningful insights that support product and business decisions. You will work with data scientists, engineers, product teams, and subject-matter experts to explore data, develop analytical solutions, and communicate findings to stakeholders. You will have opportunities to strengthen your technical skills while contributing to customer-facing analytics and data-driven initiatives.

Responsibilities

• 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.

Requirements

• 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.

Skills

• Python
• SQL
• pandas
• NumPy
• scikit-learn
• R
• Power BI
• Tableau
• MicroStrategy

Location

• Hybrid

Work Type

• Hybrid

Experience Level

• 2-4 years

Education Level

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience.

Salary/Compensations

• $94,000 - $151,000 USD

Benefits

• Comprehensive health and wellness benefits
• Opportunities for mentorship, continuing education, and focused career goal setting
• Free LinkedIn Learning licenses
• Mentoring Program
• Inclusive, global workplace
• Policies built on mutual trust and support, encouraging time off
• Comprehensive support for international relocations and permanent residency processes

About the Company

• 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.

Equal Opportunity

• 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.