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Data Optimization Jobs in Ohio (NOW HIRING)

Responsibilities : • Build scalable, data-driven tools and analytics solutions that address real client challenges. • Apply optimization, forecasting, machine learning, and predictive analytics ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that meet functional / non-functional business requirements * Identify, design, and implement internal ...

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Utilizing your expertise in Operations Research (including optimization and simulation) and machine ...

DATA ENGINEER

Delaware, OH · On-site

$108K - $130K/yr

... Optimization, Documentation Why Join AaraTech Inc? * Strong technical learning path * Exposure to cloud and healthcare data platforms * Mentorship and training support * Career growth opportunities

The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized ...

Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

The Data Engineer works with the Data Platform team to design, build, and maintain data ... Analyze and resolve database performance issues through query optimization, indexing, and schema ...

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing ... This position plays a critical role in pricing optimization, experimentation strategy, and ...

Lead and assist in administration, optimization, and operational oversight of Snowflake and related cloud data platforms. * Oversee table structures, role and permission management, performance ...

Lead and assist in administration, optimization, and operational oversight of Snowflake and related cloud data platforms. * Oversee table structures, role and permission management, performance ...

From analyzing brightness data from man-made space objects in earth's orbit to mathematical modeling in AM processes, Applied Optimization's team is adept at assessing, researching, and developing ...

Showing results 21-40

Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Ohio? The most popular types of Data Optimization jobs in Ohio are:
What are popular job titles related to Data Optimization jobs in Ohio? For Data Optimization jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in Ohio look for? The top searched job categories for Data Optimization jobs in Ohio are:
What cities in Ohio are hiring for Data Optimization jobs? Cities in Ohio with the most Data Optimization job openings:
Infographic showing various Data Optimization job openings in Ohio as of July 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% In-person job distribution.
Data Scientist

Data Scientist

AMEND Consulting

Cincinnati, OH • On-site

Full-time

Posted 3 hours ago


Job description

Job Summary:
AMEND Consulting is a management consulting firm based in Cincinnati, OH, focused on operations, analytics, and technology. They are seeking a Data Scientist who will build advanced analytics tools and partner with clients to deliver solutions that enhance decision-making and business value.
Responsibilities:
• Build scalable, data-driven tools and analytics solutions that address real client challenges.
• Apply optimization, forecasting, machine learning, and predictive analytics to guide decision-making.
• Develop scalable tools that translate data into action for client leaders and operators.
• Partner with clients to understand their strategic priorities, pain points, and growth opportunities.
• Present findings that connect the 'what' and 'why' to the 'so what' — turning technical outputs into clear business value.
• Facilitate client meetings, stand-ups, and executive briefings with clarity and confidence.
Qualifications:
Required:
• Proven experience with Python or C#, SQL, and applied machine learning or statistical modeling, and data management.
• Ability to translate analytical results into insights that drive decision-making and strategy.
• Experience managing projects, leading meetings, and communicating with executive stakeholders.
• A habit of asking 'why?' and exploring unconventional solutions to business problems.
• Bachelor's degree in Business Analytics, Data Science, or Computer Science (or equivalent experience in industry).
• Math optimization and prescriptive analytics
• Machine learning and predictive analytics
• Forecasting and quantitative analysis
• Power BI and Power Apps
• Git for version control
• n8n and Power Automate
• Azure Logic Apps
Company:
We help leaders ignite growth by turning complexity into transformation. Founded in 2005, the company is headquartered in Cincinnati, USA, with a team of 51-200 employees. The company is currently Growth Stage.