Cleveland, OH

Data Jobs in Cleveland, OH

11 jobs found

Include remote jobs

Today

Data Engineer

Medical Mutual of Ohio Cleveland, OH

Cleveland, OH

Today

Full time Analytics Big Data Business Intelligence

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Job Description

Design and build data integration and transformation pipelines that support analytics and business decision-making.

Responsibilities

Develop data pipelines to integrate and transform data for analysis
Sequence and manage jobs and processes that transform data into data lake and data warehouse
Perform data profiling and create data documentation
Measure, enforce, and improve data quality using manual verification and automated data quality tests
Design and develop data models to represent information
Support analytic projects, including data extracts, demonstrations, and proof of data capabilities in the warehouse
Enable applied use of data by supporting other data users and helping stakeholders use data to meet objectives
Convene business meetings to understand data and business needs, capture agreement on business rules, and build consensus around data products and insights
Learn new technical concepts and software languages as needed
Provide additional support and complete other duties as assigned

Requirements

2+ years professional experience developing software to solve business problems
Bachelor’s degree in Computer Science, Computer Information Systems, or a business degree with focus on data transformation (or analysis), or equivalent work experience
Basic understanding of programming design and coding techniques
Familiarity with the systems development life cycle
Understanding of database technologies and query semantics
Experience with public cloud database technologies, including: RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery
Experience programming with ETL or ELT technologies
Understanding of data warehouse data model theory and techniques
Python programming experience
Experience with data engineering system design and software implementation
Experience with all parts of the systems development life cycle
Experience leading and coordinating technical initiatives

Technologies

RedShift
SnowFlake
DataBricks
Azure Synapse
BigQuery
ETL
ELT
Python

Location & Work Style

Cleveland, OH (hybrid)
Hybrid role with three days per week onsite
Candidates must be located in the Cleveland/Brooklyn area

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Today

Senior Data Engineer- Fusion Experience

Oracle Cleveland, OH

Cleveland, OH

Today

Full time Senior Data Data Analysis

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Job Description

In this role, you will design and build scalable data pipelines and data solutions with an emphasis on data governance, validation, and quality assurance. You will collaborate in an agile environment to develop, maintain, and troubleshoot data solutions focused on performance, security, and reliability.

Key Responsibilities

Design and build data pipelines required for optimal data processing across a variety of data sources.
Collaborate with cross-functional teams to identify data requirements and align with business objectives for projects or initiatives.
Independently analyze, design, and troubleshoot data flows based on business needs.
Translate business requirements into technical specifications.
Adjust data collection processes, including indexing and query optimizations, to support optimal performance.
Build Extract, Transform, and Load (ETL) pipelines to enable efficient data collection and extraction.
Profile data sources to support successful pipeline builds.
Define success and failure thresholds for data collection pipelines.
Implement data governance policies and procedures for data handling, including data retention, to help maintain consistency, integrity, accuracy, and reliability across the data lifecycle.
Redact Personally Identifiable Information (PII) and Protected Health Information (PHI) to support compliance with data privacy and security standards.
Follow data security measures to protect data from unauthorized access, use, disclosure, alteration, or destruction.
Ensure data compliance with applicable laws, regulations, and industry standards.
Implement data validation and integrity checks, identify data quality issues, and address items that could impact data pipeline or model performance.
Define data annotation and labeling processes to support data quality, working independently where needed.
Design and implement automation of data validation and governance.
Independently design, develop, and optimize automated and scalable data pipeline architectures using ETL, creating reusable data products.
Implement appropriate data storage solutions for processed data to enable scalable, optimized access and analysis.
Manage day-to-day operation of data pipeline flow and storage.
Write runnable code and perform testing and debugging of data solutions.
Independently manage work by monitoring timelines and deliverables to keep initiatives on track and aligned with requirements.
Prioritize work proactively and adapt to changes in resources or timelines, suggesting adjustments to maintain efficiency.
Collaborate across teams to align expectations and achieve shared objectives, supporting effective partnerships with stakeholders.
Identify and address standard and non-standard issues according to standard practices, escalating more complex items appropriately.
Troubleshoot errors by analyzing data and information from multiple sources, including standard and non-standard issues.
Contribute to knowledge sharing and best practices and support a culture of continuous learning.
Develop ideas and recommend updates to improve the efficiency and effectiveness of team processes, protocols, and workflows.
Seek input on alternative approaches and methods to improve how work is executed.

Technologies

Extract, Transform, and Load (ETL)
Indexing
Query optimizations

Work Setup

Location: Cleveland, OH (onsite)

Collaboration: Agile development environment with other engineers.

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23d ago

Research Data Scientist I

Cleveland Clinic Cleveland, OH

Cleveland, OH

23d ago

$70k - $106k/yr Full time Data Analysis Data Analytics Data Processing

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Job Description

Research Data Scientist position within HVTI at Cleveland Clinic supporting cardiovascular outcomes research through data analytics and predictive modeling.

Responsibilities

Apply basic statistical, mathematical, and predictive modeling methods to build algorithms and perform data analytics
Use programming skills with tools such as SAS, SQL, SPSS, R, Python, MATLAB, or similar technologies
Conduct basic data analysis tasks including data validation, data investigation, and hypothesis testing
Support the Principal Investigator by transforming data to address research questions
Develop basic predictive and statistical models using modeling tools
Find process improvement opportunities to increase the efficiency of data pulling, reporting, programming, and operations
Curate and process complex clinical and biological datasets
May communicate or present research findings
Identify technical issues and manage resolution for analytics programs
Perform other duties as assigned

Requirements

Bachelor’s degree in Statistics, Economics, Mathematics, Physics, Computer Science, Engineering, or a related field, plus 2 years of experience performing data analytics, math or statistical modeling, or machine learning
OR Master’s degree or PhD
Proficiency with programming in SAS, SQL, SPSS, R, Python, MATLAB, or similar tools

Preferred Qualifications

Data and computer science/IT/programming background
Knowledge of research
Medical terminology knowledge
Experience with clinical findings

Technology

SAS
SQL
SPSS
R
Python
MATLAB

Work Location

Cleveland, OH (onsite)

Salary

USD 69,600 - 106,132 per year
Pay range reflects anticipated range for new hires; actual compensation determined based on work history, experience, skill set, and education
Pay range does not include applicable pay practices (e.g., shift differentials, overtime)
Pay range does not include the value of Cleveland Clinic’s benefits package (e.g., healthcare, dental, vision)

Physical Requirements

Typical demands include high dexterity for producing materials on a PC, normal or corrected vision, extensive sitting, and frequent walking
Occasional lifting or carrying up to 5 to 15 pounds

Personal Protective Equipment

Follows standard precautions using personal protective equipment

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1mo ago

AI Engineer

Flexjet Cleveland, OH

Cleveland, OH

1mo ago Closed

Full time Ai Engineer Artificial Intelligence Data Pipeline

This position is no longer accepting applications (closed Sep 14, 2026).

Job Description

Flexjet is looking for an AI Engineer to design, develop, and deploy machine learning and AI solutions that can stand up in production. This onsite role in Cleveland, OH brings together model development, engineering practices, and cross-functional collaboration to improve user experiences and deliver business value through scalable AI systems.

What you’ll do

Design and develop machine learning and deep learning models for real-world applications
Build, test, and deploy AI/ML pipelines in production environments
Partner with cross-functional teams to translate business needs into practical AI solutions
Optimize model performance, scalability, and reliability over time
Work with large datasets including preprocessing, feature engineering, and data validation
Implement APIs and integrate AI models into existing systems
Monitor model performance and retrain as needed
Stay current with the latest advancements in AI and machine learning

What you’ll bring

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
Strong programming skills in Python (and/or Java, C++)
Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
Solid understanding of algorithms, data structures, and software engineering principles
Experience with data processing tools including Pandas, NumPy, and SQL
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Knowledge of RESTful APIs and microservices architecture

Technologies you may use

Python, Java, C++, TensorFlow, PyTorch, scikit-learn
Pandas, NumPy, SQL
AWS, Azure, Google Cloud
RESTful APIs, microservices architecture
Docker, Kubernetes
CI/CD pipelines
Spark, Hadoop

Preferred qualifications

Experience with NLP, computer vision, or generative AI
Familiarity with MLOps tools such as Docker, Kubernetes, and CI/CD pipelines
Experience deploying models at scale in production environments
Knowledge of big data technologies such as Spark and Hadoop
Understanding of AI ethics and responsible AI practices
Problem-solving and analytical thinking
Strong communication and collaboration skills
Ability to work in a fast-paced, agile environment
Attention to detail and commitment to quality

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1mo ago

Business Analytics Lead - Marketing & Customer Analytics

PNC Financial Services Group Cleveland, OH

Cleveland, OH

1mo ago Closed

$91k - $203k/yr Full time Marketing A/B Testing Analytics

This position is no longer accepting applications (closed Sep 3, 2026).

Job Description

In the Marketing & Customer Analytics organization at PNC Financial Services Group, this role focuses on turning digital marketing data into measurable growth. As an individual contributor based onsite in Cleveland, OH, you will build analytics solutions, dashboards, and models that help optimize campaigns and improve customer experiences.

What you will do

Lead hands-on analytics work across digital marketing campaigns such as paid search, SEO, social, email, and programmatic to identify trends, optimize performance, and maximize ROI.
Use advanced SQL to extract, transform, and analyze data from enterprise platforms including Hadoop and Teradata, as well as cloud-based systems.
Build, maintain, and enhance interactive dashboards and visualizations using Tableau, Power BI, or Adobe Analytics to communicate insights to stakeholders.
Develop and refine analytical models such as attribution models, customer segmentation, and customer journey analytics to support personalized experiences across channels.
Collaborate with marketing strategists, product teams, and finance stakeholders to define KPIs, translate business questions into analytical frameworks, and deliver actionable insights.
Design and analyze A/B tests, geo lift studies, and other experimentation strategies to ensure analytical rigor in optimizing campaign performance.
Provide strategic guidance and subject matter expertise on digital marketing analytics best practices, emerging techniques, and optimization opportunities.
Mentor junior analysts informally by sharing technical knowledge and analytical approaches to strengthen team capabilities.
Lead analytics processes across multiple functions or business units, using complex analytical tools to create data-driven solutions and serve as a mentor to more junior employees.
Consult on tool and strategy implementation, statistical scoring, business intelligence, data quality, and analytical product or solution development; determine the optimal analytic approach and support development, implementation, and enhancements.
Conceptualize, develop, and continuously optimize analytical solutions for business leadership, enabling data-driven decision making.
Analyze results and provide recommendations to key business partners and senior management, or communicate conclusions from complex analytics to technical and non-technical audiences.

Key qualifications

Proven success as a digital marketing analytics professional with significant hands-on experience as a senior analyst or lead individual contributor.
Deep technical proficiency in SQL including the ability to write complex queries and optimize performance across large-scale enterprise data platforms (including Hadoop, Teradata, Spark, Impala, or similar).
Strong dashboarding and visualization expertise with Tableau or Power BI.
Understanding of digital marketing channels and familiarity with at least some platforms such as SA360, CM360, DV360, Adobe Analytics, Google Analytics, and Google Ads.
Strategic ability to translate complex business questions into analytical frameworks and deliver clear, actionable recommendations.
Storytelling and communication skills to present findings to both technical and non-technical audiences.
Self-motivated, able to work independently while collaborating effectively across multiple business functions.
Intellectual curiosity and a continuous learning mindset, including enthusiasm for mentoring others.
Typically requires a Bachelors degree and 5+ years of industry-relevant experience; a comparable combination of education, job-specific certification(s), and experience (including military service) may be considered in lieu of a degree.

Salary and work arrangement

Location: Cleveland, OH (onsite)
Pay: USD 91,000 - 202,800 per year
Salaries may vary based on geographic location, market data, and individual skills, experience, and education.
This role is incentive eligible; payments are based upon company, business, and/or individual performance.

Technologies you will work with

SQL, Hadoop, Teradata, Spark, Impala, Tableau, Power BI, Adobe Analytics
Attribution models, customer segmentation, customer journey analytics
A/B tests, geo lift studies
Digital marketing platforms and channels including SA360, CM360, DV360, Google Analytics, Google Ads, paid search, SEO, social, email, programmatic, and cloud-based systems

Benefits

Medical/prescription drug coverage with a Health Savings Account feature
Dental and vision options
Employee and spouse/child life insurance
Short and long-term disability protection
401(k) with PNC match, pension, and stock purchase plans
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
Robust wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
Between 15 to 25 vacation days each year, depending on career level

Additional information

Application window: Expected to be posted for two business days from 06/05/2026, though it may be longer with business discretion.
Equal Employment Opportunity: PNC provides equal employment opportunity to qualified persons regardless of protected categories.
Disability accommodations: Applicants needing accommodations for the application process can contact AccommodationRequest@pnc.com (include “accommodation request” in the subject line, and include name, job ID, and preferred contact method) or call 877-968-7762 and say “Workday”.
California residents: Refer to the California Consumer Privacy Act Privacy Notice for information on how PNC may use or disclose personal information in hiring practices.

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1mo ago

Health Care Analytics and AI Senior Product Owner

Deloitte Cleveland, OH

Cleveland, OH

1mo ago Closed

$116k - $229k/yr Full time Ai Workflows Data Analytics Healthcare

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Join Deloitte's Converge for Health Care, the industry focused asset studio within Deloitte Consulting's Innovation & Delivery Transformation practice. This environment blends healthcare domain expertise with advanced analytics and AI to deliver data driven solutions that impact real world outcomes. The Health Care Analytics and AI Senior Product Owner focuses on healthcare analytics and AI enabled products, translating business priorities into executable product requirements and coordinating with engineering and data teams to bring solutions to life. This onsite role is based in Cleveland, Ohio, with a salary range of USD 116,200 to 229,100 per year.

Benefits

Discretionary annual incentive program eligibility

The Team

This role sits within Converge for Health Care, Deloitte's industry focused asset studio for healthcare, and is part of Deloitte Consulting's Innovation & Delivery Transformation (I&DT) practice. I&DT applies an engineering- and innovation-led mindset to how Deloitte builds, delivers, and scales technology-enabled solutions. Product Owners in Converge for Health Care work closely with Product Managers, engineering and data teams, Deloitte Consulting practitioners, and client stakeholders. The team operates at the intersection of healthcare domain expertise, analytics platforms, and delivery execution, ensuring products are built with real-world use in mind and continuously refined based on delivery and market feedback.

Responsibilities

Lead the execution of product roadmaps and delivery plans in partnership with the Product Manager, maintaining alignment and momentum as priorities move from concept to delivery.
Translate business objectives, practitioner input, and client needs into clear user stories, functional requirements, and acceptance criteria, bridging healthcare domain knowledge with engineering and data perspectives.
Coordinate development, testing, and release activities with engineering, data, and analytics teams to ensure requirements are well understood and outcomes align with intended use cases.
Manage day-to-day backlog operations, including prioritization, grooming, and sprint planning, balancing immediate delivery needs with longer-term product direction.
Participate actively in agile ceremonies and working sessions to keep progress aligned with roadmap priorities and stakeholder expectations.
Contribute to research, documentation, and design of new features by gathering insights from Deloitte leaders, practitioners, and clients to validate assumptions and inform decisions grounded in real-world use.
Support pilot deployments of new analytics capabilities, including GenAI-enabled features and emerging agentic workflows, translating early learnings into scalable product improvements.
Develop product collateral, demonstrations, and enablement materials to drive adoption across Deloitte Consulting teams and client engagements.
Monitor product usage and performance signals, collecting feedback to identify opportunities for refinement, optimization, or future investment and sharing insights with the Product Manager and broader team.

Requirements

Ability to translate ambiguous business and domain needs into structured product requirements and executable work items.
Strong healthcare domain understanding with experience applying analytics- or data-driven solutions in healthcare operations and performance improvement contexts.
Technical fluency with analytics platforms and data-driven products, enabling effective collaboration with engineering, data, and analytics teams without requiring hands-on coding.
Robust problem-solving and analytical skills, with the ability to synthesize inputs, evaluate tradeoffs, and articulate clear implications.
Clear written and verbal communication skills, capable of engaging Product Managers, engineers, consultants, and senior stakeholders.
Ability to influence outcomes and drive progress across cross-functional teams in fast-moving, matrixed environments.
Comfort working in agile delivery setups, including backlog tracking, sprint planning, documentation, and collaboration tools to organize work and communicate progress.
Curiosity about emerging technologies such as advanced analytics, automation, GenAI, and agentic systems, and interest in applying these capabilities responsibly within healthcare products.
Adaptability to evolving product portfolios where priorities and investment focus continue to mature over time.

Technologies

GenAI

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1mo ago

Senior Data Scientist

Flexjet Cleveland, OH

Cleveland, OH

1mo ago Closed

Full time Senior AI Ai Ml

This position is no longer accepting applications (closed Aug 22, 2026).

Job Description

Senior-level Enterprise AI Data Scientist to design, develop, and deploy enterprise-scale AI and Generative AI solutions at Flexjet, focusing on LLM powered applications, RAG pipelines, and secure enterprise data systems in Cleveland, OH (onsite).

Responsibilities

Design and deploy enterprise-scale ML models for predictive analytics and classification tasks
Create intelligent automation to streamline business workflows
Build and roll out LLM powered applications, including enterprise knowledge assistants and chatbots
Architect Retrieval-Augmented Generation pipelines
Develop semantic search, document intelligence, and enterprise search capabilities
Improve prompt engineering workflows and fine-tune models with domain data
Benchmark and evaluate machine learning and LLM performance
Work with large-scale structured and unstructured data across enterprise systems
Design scalable data pipelines to support AI and ML workflows
Integrate AI solutions with internal systems, APIs, and enterprise platforms
Collaborate with data engineering teams to shape data architectures
Deploy AI/ML models into production environments
Implement model monitoring, performance tracking, and alerting
Maintain model versioning, reproducibility, and lifecycle management
Contribute to CI/CD pipelines for AI and ML deployments
Ensure production systems are scalable, reliable, and performant
Adopt responsible AI practices including fairness, transparency, and risk mitigation
Ensure compliance with enterprise data governance, privacy, and security standards
Support explainability and documentation requirements for models
Document models, systems, and workflows thoroughly
Translate business needs into actionable technical solutions
Partner with product, engineering, and analytics teams to deliver AI solutions
Communicate technical concepts clearly to non-technical stakeholders
Contribute to system architecture decisions and design discussions
Document workflows, design decisions, and results

Requirements

Strong proficiency in Python and SQL
Experience developing and deploying models across regression, classification, clustering, ensembles, and neural networks
Solid understanding of data preprocessing, feature engineering, and model evaluation
Prompt engineering and optimization expertise
Experience with Retrieval-Augmented Generation (RAG)
Experience with embeddings and vector search
Experience evaluating and fine-tuning models
Experience working with large, complex datasets
Data pipelines, ETL processes, and enterprise data warehouses
API integrations and distributed, enterprise-scale systems
Experience building and maintaining production-ready ML systems
Familiarity with Docker, Kubernetes, and REST APIs
CI/CD pipelines and Git version control
Experience with AWS, Azure, or Google Cloud

Technologies

Python
SQL
Retrieval-Augmented Generation (RAG)
LangChain
LlamaIndex
Hugging Face
Docker
Kubernetes
REST APIs
Git
AWS
Azure
Google Cloud
Embeddings
Vector search
Vector databases

Preferred Qualifications

Experience developing LLM-powered applications in enterprise environments
Hands-on work with RAG pipelines, embeddings, and vector databases
Strong understanding of prompt engineering and LLM evaluation techniques
Familiarity with LangChain, LlamaIndex, and Hugging Face frameworks
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