Principal Data Scientist
Epicor Inc
- Provide technical leadership, mentorship, and industry expertise to data scientists and analytics engineers, guiding highcomplexity modeling and solution design.
- Lead the development of analytics product packages aligned with product roadmaps or customer contracts, ensuring the enduser experience maps to clear business use cases.
- Conduct research, perform advanced statistical and ML modeling, and drive the frontend analytics user experience for customerfacing solutions.
- Partner across crossfunctional analytics teams-including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers-to architect endtoend analytics solutions.
- Evaluate and integrate emerging analytics technologies, new data sources, and modern ML/AI approaches to keep Epicor's analytics offerings innovative and competitive.
- Develop and apply advanced models and algorithms to improve operations, enhance customer outcomes, and answer complex business questions.
- Mine and analyze large, complex, and unstructured datasets using sophisticated statistical methods to drive datainformed decisionmaking and product excellence.
- Collaborate with product operations leadership to ensure high availability, performance, and reliability of analytics solutions that meet or exceed contracted service levels.
- 9+ years' experience building, deploying, and supporting largescale analytics, ML, or AI solutions.
- Advanced proficiency in Python, including expertise in building ML/AI models at scale.
- Experience with PyTorch, ML SDKs, and productiongrade 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 datawarehousing concepts.
- Experience with frontend analytics platforms such as MicroStrategy, Power BI, or Tableau.
- Experience implementing ML or data science routines in Python and/or R.
- Experience with GPUaccelerated ML or deep learning workflows.
- Experience writing, interpreting, or applying ML/AI whitepapers or research findings.
- Ability to influence and lead crossfunctional 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 highvolume BI tools such as Tableau or MicroStrategy.
#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 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.
Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and 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.
Recruiter:
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