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NEXTMOVEFDE careers · United States

Data Scientist

About Epicor

Cloud ERP for manufacturing, distribution, and retail — 23,000+ customers across make-move-sell industries, $1B+ ARR, transitioning fully to SaaS.

Private Late · 5000+ people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

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. We are seeking applicants with a strong analytical foundation, working knowledge of Python and SQL, and an interest in solving practical business problems with data. What you will be doing: 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
More from the job description

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. We are seeking applicants with a strong analytical foundation, working knowledge of Python and SQL, and an interest in solving practical business problems with data. What you will be doing: 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 [... source excerpt omitted ...] 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. #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 [... source excerpt omitted ...] ed 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 Brady

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