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Senior Data Scientist

Cincinnati, Ohio, United StatesOnsiteFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

This Senior Data Scientist role is a technical leadership position focused on designing and delivering advanced data products and AI-driven systems. The individual will architect scalable, cloud-based ML and AI solutions, including LLM-based systems and RAG pipelines, while partnering with business leaders to identify high-value use cases. Key responsibilities include establishing best practices, mentoring junior data scientists, and communicating technical strategy and ROI to stakeholders. The role requires 6-10 years of experience in production ML systems, expert proficiency in Python and ML frameworks, and experience with cloud architectures. Leadership and mentoring abilities are essential.

About the role:

As a Senior Data Scientist, you’ll serve as a technical leader and strategic partner, designing advanced data products and AI-driven systems that deliver measurable business value. You’ll influence architecture decisions, guide analytics strategy, and mentor other team members while working closely with business leaders.

What’s in it for you:

  • High-impact, high-visibility role
  • Ownership of enterprise-scale data and AI solutions
  • Opportunity to shape data science strategy and standards
  • Direct collaboration with senior stakeholders
  • Leadership and mentorship opportunities
  • Comprehensive benefits package with health, dental and vision coverage and 401(k) with company match

What you’ll be doing:

  • Architecting and delivering advanced ML and AI-driven solutions
  • Designing scalable data products, including real-time systems
  • Partnering with business leaders to identify high-value use cases
  • Leading development of LLM-based systems and RAG pipelines
  • Establishing governance and lifecycle best practices
  • Mentoring and enabling other data scientists
  • Communicating technical strategy and ROI to stakeholders

What you’ll need:

  • Advanced degree or equivalent deep industry experience
  • 6–10 years of experience delivering production ML systems
  • Expert-level proficiency in Python and ML frameworks
  • Experience designing scalable, cloud-based architectures
  • Strong business acumen
  • Proven leadership and mentoring ability

*Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.*

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