Senior AI and Data Science Consultant

The Ohio State University; Columbus (OH); Presencial; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental and vision coverage

Paid time off

State retirement plan

Descripción de la vacante

The Ohio State University Wexner Medical Center seeks a Senior AI and Data Science Consultant to drive advanced analytics initiatives across clinical, research, and operational domains. This role emphasizes translating complex questions into AI solutions and delivering measurable value.

You will deploy models, evaluate outcomes, and communicate insights to diverse stakeholders while partnering with data engineering, security, governance, and platform teams to ensure scalable, compliant

Formación

• Bachelor's degree in a quantitative field and 6+ years of data science/AI experience.

Responsabilidades

• Lead design, implementation and evaluation of analytics and AI initiatives across the medical center.
• Translate business questions into analytical solutions and communicate results to technical and non-technical stakeholders.
• Collaborate with data engineering, platform, security, privacy and governance teams to operationalize high-value solutions.

Conocimientos

Python

SQL

Statistics

Machine learning

AI engineering

Cloud platforms

MLOps

LLMOps

Responsible AI

Educación

Bachelor's degree in Data Science

Herramientas

Tableau

Plotly

Streamlit

Descripción del empleo

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Job Title: Senior AI and Data Science Consultant

Department: Health System Shared Services | Analytics Center of Excellence

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.

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.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center.

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• Medical, dental and vision coverage, with Ohio State paying a significant portion of the cost.
• Paid time off, including sick and vacation time and 11 holidays.
• State retirement plan or an alternative retirement plan, both with generous employer contributions.

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