Data Scientist developing analytic solutions and analyzing healthcare datasets for client decision - making. Collaborating with teams to build scalable analytics products and communicate insights.
About the role
- Principal Data Scientist at Epicor leading advanced analytics and AI strategies across product ecosystems. Guiding teams, shaping architecture, and delivering impactful analytics solutions.
Responsibilities
- Provide technical leadership, mentorship, and industry expertise to data scientists and analytics engineers, guiding high-complexity modeling and solution design.
- Lead the development of analytics product packages aligned with product roadmaps or customer contracts, ensuring the end-user experience maps to clear business use cases.
- Conduct research, perform advanced statistical and ML modeling, and drive the front-end analytics user experience for customer-facing solutions.
- Partner across cross-functional analytics teams—including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers—to architect end-to-end 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 data-informed decision-making 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.
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.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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