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Principal Data Scientist

LinkedIn Epicor Washington DC-Baltimore Area
Not Applicable Posted April 4, 2026 Job link
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Requirements
  • 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.
Preferred Skills
  • Experience with SQL and/or Python for analytics, and exposure to database modeling and data‑warehousing concepts.
  • 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.