Senior AI and Data Science Consultant

Ohio State University; Columbus (OH); Hybrid; USD 120,000 - 190,000; Full time

Job summary

The Ohio State University Wexner Medical Center seeks a Senior AI and Data Science Consultant to lead advanced analytics and AI initiatives across clinical, research, and operational domains. You will translate complex questions into end-to-end AI solutions, communicating results to both technical and non-technical stakeholders.

You will collaborate across data engineering, platform, cybersecurity, and governance teams to deploy, monitor, and continuously improve enterprise-scale AI assets,

Qualifications

• Bachelor's degree in a quantitative field and 6+ years in data science, analytics or AI engineering.
• Advanced proficiency in Python and SQL, strong modeling skills, and hands-on ML experience.
• Experience with cloud platforms, MLOps/LLMOps, and responsible AI practices.
• Ability to translate business needs into analytical plans and communicate to diverse audiences.

Responsibilities

• Contribute to the strategic vision and lead design, implementation, and evaluation of advanced analytics and AI initiatives.
• Translate business questions into well-defined analytical or AI solutions and document findings and limitations.
• Collaborate with clinical, research, IT, and governance teams to move solutions from concept to deployment and monitoring.
• Lead across solution lifecycle, including data prep, model development, secure integration, and continuous improvement.

Skills

Python

SQL

Statistics

Modeling

Machine Learning

Software Engineering

Cloud Platforms

MLOps/LLMOps

Generative AI

Communication of complex concepts

Education

Bachelor's degree in Data Science

Bachelor's degree in Industrial & Systems Engineering

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Bachelor's degree in Informatics

Tools

Tableau

Plotly

Streamlit

Azure AI

Job description

Senior AI and Data Science Consultant# Careers## Senior AI and Data Science ConsultantApply: Hybrid: Health System Shared Services: Full time: Posted Today: R161284Screen reader users may encounter difficulty with this site. For assistance with applying, please contact [e-mail]. If you have questions while submitting an application, please review these frequently asked questions.**Current Employees and Students:**If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:* Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.* Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.## Job Title:Senior AI and Data Science Consultant## Department:Health System Shared Services | Analytics Center of Excellence**Job Description**The Senior AI & Data Science Consultant contributes to the strategic vision of The Ohio State University Wexner Medical Center and serves as a senior technical contributor in the design, implementation, and evaluation of advanced analytics and artificial intelligence initiatives. The consultant creates organizational value by integrating and analyzing data from clinical, research, educational, financial, and operational areas of the medical center.This enterprise-wide role applies statistical analysis, mathematical and simulation modeling, operations research, machine learning, agentic and generative AI to complex healthcare and business challenges. The consultant translates ambiguous questions into well-defined analytical or AI solutions and communicates findings, evidence, limitations, and recommendations to technical and non-technical stakeholders.Under the direction of the supervisor, the consultant works with substantial independence across the solution lifecycle, from problem framing, data preparation, model development, and evaluation through secure integration, deployment, monitoring, and continuous improvement. The role partners with clinical and administrative leaders, data engineering, platform, application development, architecture, cybersecurity, privacy, compliance, and governance teams to move high-value solutions from concept to sustainable enterprise use.**Minimum Qualifications**Bachelor's degree in Data Science, Industrial & Systems Engineering, Computer Science, Statistics, Mathematics, Informatics, or a related quantitative field. Six years of experience in data science, advanced analytics, machine learning, AI engineering, software engineering, or a related field, with demonstrated success delivering AI/ML solutions. Advanced proficiency in Python and SQL, strong statistical and modeling expertise, hands-on machine learning experience, and knowledge of software engineering, cloud platforms, MLOps/LLMOps, and generative AI. Ability to apply responsible AI practices, communicate complex technical concepts to diverse audiences, evaluate technical solutions, and translate business needs into analytical and implementation plans.## Additional Information:**Desired Qualifications**Preferred qualifications include experience applying analytics or AI in healthcare, academic medical centers, clinical research, or other regulated environments; familiarity with Epic data, healthcare workflows, claims data, and interoperability standards such as HL7 FHIR; experience with Azure AI and data platforms, RAG and agentic AI solutions, infrastructure-as-code, containerization, API management, and enterprise observability; proficiency with visualization and analytical tools such as Tableau, Plotly, or Streamlit; demonstrated leadership of cross-functional projects and mentoring of technical teams; expertise in advanced quantitative methods such as optimization, simulation, Bayesian analysis, causal inference, or forecasting; and experience utilizing and integrating knowledge graphs.## Location:Ackerman Rd, 660 (0242)## Position Type:Regular## Scheduled Hours:40## **Shift:**First Shift***Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.***