Top 80 Senior data Jobs in Cleveland, Oh

Senior Data Scientist
Flexjet —Cleveland, OH
- Full-time
- 5 years
- Senior level
Quick Apply
Data Analyst Senior or Lead
Progressive —Mayfield Village, OH
- $98,400 - $131,200 a year
- Hybrid work
- 5 years
- Data analysis skills
- Office
- Health savings account
- Disability insurance
3d
Data & BI Senior Associate
KeyBank National Association —Brooklyn, OH
- $80,000 - $150,000 a year
- Full-time
- Hybrid work
- Writing skills
- Mid-level
- Office
Oracle Global Data Warehouse, Senior Analyst
Howmet Aerospace —Cleveland, OH
- $85,000 - $105,000 a year
- Full-time
- Hybrid work
- Writing skills
- Mid-level
- Office
- Health insurance
- 401(k)
Quick Apply
Sr Data Engineer - Onsite - only local OH consultants
USG Inc —Cleveland, OH
- $55 - $60 an hour
- Contract
- 11+ years
- In-person
- Senior level
Quick Apply
5d
Customer Intl Data Analyst Sr
Parker Hannifin Corporation —Cleveland, OH
- Full-time
- Mid-level
- Office
- Bachelor's degree
Senior Research Scientist - AI Trainer
DataAnnotation —Aurora, OH
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
9d
Senior Data Scientist - AI Trainer
DataAnnotation —Ohio
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- 3 years
- Flexible schedule
Quick Apply
12d
Senior Quantitative Analyst - AI Trainer
DataAnnotation —Ohio
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
12d
Senior Manager, AI and Decision Science for Product & Formulation Development
Lubrizol —Wickliffe, OH
- Full-time
- Hybrid work
- Computer Science
- 11+ years
- Office
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Cleveland, OH
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Technology Engineer Senior - Data and Automation - Infrastructure Team (Linux, Oracle, Firewall, Master Data Management (MDM), Websphere)
PNC Financial Services Group —Strongsville, OH
- $91,000 - $169,000 a year
- Full-time
- Oracle
- 5 years
- Maintenance
- Wellness program
- Health savings account
Senior Data Engineer
Further —Cleveland, OH
- Hybrid work
- Azure
- 6 years
- System design
- Paid parental leave
- Health savings account
Quick Apply
Senior Operations Data Analyst
Medical Mutual of Ohio —Cleveland, OH
- Hybrid work
- Office
- Master's degree
- SQL
- Health savings account
- Disability insurance
Senior Data Analytics & Insights Analyst
Goosehead Insurance Agency —Westlake, OH
- Full-time
- 5 years
- Analysis skills
- Bachelor's degree
- Employee stock purchase plan
- Paid holidays
Senior Data Analyst
KeyBank National Association —Brooklyn, OH
- $80,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Office
Campaign Data Operations Senior Associate
Crowe —Cleveland, OH
- $55,000 - $108,500 a year
- Full-time
- Remote
- Marketing
- Mid-level
- 3 years
Quick Apply
Managed Services - Senior Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Cleveland, OH
- $99,000 - $232,000 a year
- Computer Science
- Java
- Finance
- Paid holidays
- Health insurance
Financial Crimes - Senior Data Scientist
KeyBank National Association —Cleveland, OH
- $94,000 - $175,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- Master's degree
Cyber AI Data Engineer Senior Consultant
Deloitte —Cleveland, OH
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree

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senior data jobs near cleveland, oh

Senior Data Scientist

Flexjet -
Cleveland, OH

Quick Apply

Job Details

Full-time

Qualifications

5 years
Senior level

Full Job Description

POSITION SUMMARY

Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and deploy enterprise-scale AI and Generative AI solutions that improve productivity, automate workflows, and enhance decision-making across the organization.

This role focuses on building LLM-powered enterprise applications, such as internal knowledge assistants, document processing systems, and workflow automation tools. The ideal candidate has hands-on experience with machine learning, large language models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise data systems.

Collaborate with data engineers, software engineers, product teams, and business stakeholders to build secure, scalable, and production-ready AI solutions that align with enterprise governance and compliance standards.

DUTIES & RESPONSIBILITIES

Design and implement enterprise-scale machine learning models, including predictive and classification systems

Develop intelligent automation solutions to streamline business workflows

Build and deploy LLM-powered applications, such as enterprise knowledge assistants and chatbots

Design and implement Retrieval-Augmented Generation (RAG) pipelines

Develop solutions for semantic search, document intelligence, and enterprise search capabilities

Optimize prompt engineering workflows and fine-tune models using domain-specific data

Evaluate and benchmark machine learning and LLM model performance

Work with large-scale structured and unstructured data sources across enterprise systems

Design and build scalable data pipelines to support AI and machine learning workflows

Integrate AI solutions with internal systems, APIs, and enterprise platforms

Partner with data engineering teams to design and optimize data architectures

Deploy AI/ML models into production environments

Implement model monitoring, performance tracking, and alerting

Maintain model versioning, reproducibility, and lifecycle management

Support and contribute to CI/CD pipelines for AI and ML deployments

Ensure scalability, reliability, and performance of systems in production environments

Implement responsible AI practices, including fairness, transparency, and risk mitigation

Ensure compliance with enterprise data governance, privacy, and security standards

Support model explainability and documentation requirements

Maintain thorough documentation of models, systems, and workflows

Translate business needs into actionable technical solutions

Work closely with product, engineering, and analytics teams to deliver AI-driven solutions

Communicate technical concepts and solutions clearly to non-technical stakeholders

Contribute to system architecture decisions and design discussions

Document workflows, design decisions, and results

EDUCATION & EXPERIENCE

Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field, or an equivalent combination of education, training, and relevant professional experience.

5+ years of experience in Data Science, Machine Learning, and AI software engineering, machine learning engineering, platform engineering, MLOps, or DevOps.

Experience building and deploying production ML systems

Hands-on expertise in data preprocessing, feature engineering, and model evaluation

Experience working with APIs, large datasets, and enterprise systems

REQUIRED TECHNICAL SKILLS & QUALIFICATIONS

Programming: Strong proficiency in Python and SQL

Experience developing and deploying models (regression, classification, clustering, ensembles, neural networks)

Strong understanding of data preprocessing, feature engineering, and model evaluation

Prompt engineering and optimization

Retrieval-Augmented Generation (RAG)

Embeddings and vector search

Model evaluation and fine-tuning

Experience working with large, complex datasets

Data pipelines, ETL processes, and enterprise data warehouses

API integrations and distributed/enterprise-scale systems

Deployment & Infrastructure:

Building and maintaining production-ready ML systems

Familiarity with Docker, Kubernetes, and REST APIs

CI/CD pipelines and version control (Git)

Experience with AWS, Azure, or Google Cloud

PREFERRED QUALIFICATIONS

Experience developing LLM-powered applications in enterprise environments

Hands-on experience with RAG pipelines, embeddings, and vector databases

Strong understanding of prompt engineering and LLM evaluation techniques

Familiarity with frameworks such as LangChain, LlamaIndex, and Hugging Face

Knowledge of MLOps practices, including CI/CD, model monitoring, and lifecycle management

Experience with Docker, Kubernetes, and containerized deployments

Understanding of data governance, responsible AI, and model explainability

Quick Apply

Refine Your Search

senior data jobs in cleveland, oh

Senior Data Scientist

Data Analyst Senior or Lead

Data & BI Senior Associate

Oracle Global Data Warehouse, Senior Analyst

Sr Data Engineer - Onsite - only local OH consultants

Customer Intl Data Analyst Sr

Senior Research Scientist - AI Trainer

Senior Data Scientist - AI Trainer

Senior Quantitative Analyst - AI Trainer

Senior Manager, AI and Decision Science for Product & Formulation Development

Data Engineer - Senior Associate

Technology Engineer Senior - Data and Automation - Infrastructure Team (Linux, Oracle, Firewall, Master Data Management (MDM), Websphere)

Senior Data Engineer

Senior Operations Data Analyst

Senior Data Analytics & Insights Analyst

Senior Data Analyst

Campaign Data Operations Senior Associate

Managed Services - Senior Data Engineer - Manager

Financial Crimes - Senior Data Scientist

Cyber AI Data Engineer Senior Consultant

I want to receive the latest job alert for senior data in cleveland, oh

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