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Senior AI and Data Science Consultant
The Ohio State University, Main Campus. Contribute to the strategic vision of The Ohio State University Wexner Medical Center .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced analytics and artificial intelligence, with a strong foundation in statistical analysis, machine learning, and data integration. Capable of translating complex business needs into actionable analytical solutions while effectively communicating findings to diverse stakeholders.
Highest-signal resume keywords
Advanced AnalyticsMachine LearningPython ProgrammingSQL ProficiencyAI Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisMathematical ModelingSimulation ModelingOperations ResearchGenerative AIData IntegrationAI Solutions DeliveryMLOpsSoftware EngineeringCloud Platforms
Soft Skills
CommunicationProblem FramingStakeholder EngagementAnalytical ThinkingCollaboration
Industry Keywords
Healthcare AnalyticsData ScienceQuantitative AnalysisComplianceGovernance
Tech Stack
Tools & technologiesCloudCyber SecurityPythonSQL
About the role
Key responsibilities & impact- Contribute to the strategic vision of The Ohio State University Wexner Medical Center
- Serve as a senior technical contributor in designing, implementing, and evaluating advanced analytics and artificial intelligence initiatives
- Integrate and analyze clinical, research, educational, financial, and operational data
- Apply statistical analysis, mathematical and simulation modeling, operations research, machine learning, agentic AI, and generative AI to complex healthcare and business challenges
- Translate ambiguous questions into well-defined analytical or AI solutions
- Communicate findings, evidence, limitations, and recommendations to technical and non-technical stakeholders
- Work across the solution lifecycle, including problem framing, data preparation, model development, evaluation, secure integration, deployment, monitoring, and continuous improvement
- Partner with clinical and administrative leaders and data engineering, platform, application development, architecture, cybersecurity, privacy, compliance, and governance teams
- Move high-value solutions from concept to sustainable enterprise use
Requirements
What you’ll need- 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
- Demonstrated success delivering AI/ML solutions
- Advanced proficiency in Python and SQL
- Strong statistical and modeling expertise
- Hands-on machine learning experience
- Knowledge of software engineering, cloud platforms, MLOps/LLMOps, and generative AI
- Ability to apply responsible AI practices
- Ability to communicate complex technical concepts to diverse audiences
- Ability to evaluate technical solutions and translate business needs into analytical and implementation plans
- Final candidates subject to successful completion of a background check
- A drug screen or physical may be required during the post-offer process
Benefits
Comp & perks- Regular position
- 40 scheduled hours per week
- First shift
- Equal opportunity employer, including veterans and disability