Epicor

Epicor

Principal Data Scientist

US, Lehi, USA · Principal

Sponsorship not specifiedDetected 91 days ago
PythonAlgorithmsSQLRESTMachine LearningDeep LearningPyTorchData EngineeringData ScienceData VisualizationBusiness DevelopmentResearchLeadershipProblem SolvingMentoring

About the role

  • As a Principal Data Scientist at Epicor, you will be the technical leader driving advanced analytics, machine learning, and AI strategy across our product ecosystem.
  • You will guide data scientists and analytics engineers, shape the technical architecture of ML solutions, and ensure our analytics experiences are impactful, intuitive, and aligned with real customer use cases.
  • You will be responsible for influencing product direction, introducing emerging technologies, and delivering high‑value models that scale across complex datasets and customer environments.

Responsibilities

  • Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

Requirements

  • Advanced proficiency in Python, including expertise in building ML/AI models at scale.
  • 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 writing, interpreting, or applying ML/AI whitepapers or research findings.
  • Experience with big data pipelines and distributed compute environments.
  • 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.

Benefits

  • Comprehensive health and wellness benefits designed to support your overall well-being.
  • Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
  • Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

This listing is sourced directly from Epicor's careers page and normalized into a canonical job model.