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Data Scientist Opt Jobs in Ohio (NOW HIRING)

Total Quality Logistics

Data Scientist

Cincinnati, OH · On-site

$80 - $110/hr

As a Data Scientist, you'll design, build, and deploy advanced analytics and machine learning ... Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN ...

TQL

Data Scientist

Cincinnati, OH

As a Data Scientist, you'll design, build, and deploy advanced analytics and machine learning ... Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN ...

TQL

Senior Data Scientist

Cincinnati, OH

As a Senior Data Scientist, you'll serve as a technical leader and strategic partner, designing ... Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN ...

Total Quality Logistics

Senior Data Scientist

Cincinnati, OH · On-site

$100 - $130/hr

About the role As a Senior Data Scientist, you'll serve as a technical leader and strategic partner ... Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN ...

Total Quality Logistics

Data Scientist

Cincinnati, OH · On-site

As a Data Scientist, you'll design, build, and deploy advanced analytics and machine learning ... Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN ...

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Data Scientist Opt information

What is a data scientist opt?

Data Scientists are professionals who use statistical analysis, machine learning, and programming skills to extract insights from large and complex datasets. They work across industries to help organizations make data-driven decisions, often by building predictive models and visualizations. Data Scientists typically have expertise in mathematics, statistics, computer science, and domain knowledge relevant to their field. Their work often involves cleaning and preparing data, exploring patterns, and communicating findings to stakeholders. As businesses increasingly rely on big data, the role of Data Scientists has become critical to unlocking actionable information from raw data.

What are the key skills and qualifications needed to thrive as a data scientist opt, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a relevant degree in computer science, statistics, or a related field. Experience with data analysis tools (such as Pandas, NumPy, and SQL), machine learning frameworks (like scikit-learn or TensorFlow), and data visualization platforms is typically required. Excellent problem-solving abilities, effective communication, and curiosity help Data Scientists translate complex data findings into actionable business insights. These skills ensure you can extract meaningful value from data and communicate results clearly to drive decision-making.

What are some typical challenges data scientist opts face when collaborating with cross-functional teams?

Data Scientists often work alongside engineers, product managers, and business analysts, which can present challenges in aligning technical solutions with business goals. Communication is key, as translating complex data insights into actionable recommendations for non-technical stakeholders can be demanding. Additionally, ensuring data quality and managing expectations about project timelines are common hurdles. Being adaptable and proactive in fostering collaboration helps Data Scientists succeed in these environments.

What is the difference between Data Scientist Opt vs Data Analyst?

AspectData Scientist OptData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentResearch and development teams, data-driven projects, advanced analyticsBusiness units, reporting, data visualization, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, finance, government agencies

Data Scientist Opt and Data Analyst roles share some foundational skills but differ mainly in complexity and scope. Data Scientist Opt focuses on advanced analytics, machine learning, and predictive modeling, while Data Analysts primarily handle data reporting and visualization. Both roles are essential in data-driven organizations but serve different purposes based on project complexity and technical requirements.

What are popular job titles related to Data Scientist Opt jobs in Ohio?

For Data Scientist Opt jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Scientist Opt jobs in Ohio look for?

The top searched job categories for Data Scientist Opt jobs in Ohio are:

What cities in Ohio are hiring for Data Scientist Opt jobs?

Cities in Ohio with the most Data Scientist Opt job openings:

Data Scientist Opt jobs near you
Infographic showing various Data Scientist Opt job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Total Quality Logistics

Cincinnati, OH • On-site

$80 - $110/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

Total Quality Logistics rating

6.0

Company rating: 6.0 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

326th of 366 rated logistics

Job description

About the role:

As a Data Scientist, you’ll design, build, and deploy advanced analytics and machine learning solutions that directly support business decision‑making. You’ll own projects end‑to‑end—from problem definition through production deployment—while ensuring solutions are scalable, reliable, and impactful.

What’s in it for you:
  • Ownership of meaningful analytics and machine learning initiatives
  • Opportunity to work on complex, high‑impact business problems
  • Exposure to modern ML architecture and production systems
  • Collaboration with cross‑functional teams
  • A role that balances technical depth with business influence
  • Comprehensive benefits package with health, dental and vision coverage and 401(k) with company match
What you’ll be doing:
  • Developing and deploying predictive, prescriptive, and inferential models
  • Translating ambiguous business problems into analytical solutions
  • Building and maintaining Python‑based ML pipelines in cloud environments
  • Working with structured and unstructured data
  • Monitoring model performance and data drift
  • Improving shared tools, frameworks, and best practices
  • Communicating insights and recommendations to stakeholders
What you’ll need:
  • Advanced degree preferred or equivalent experience
  • 3-5 years of professional data science or machine learning experience
  • Strong proficiency in Python and ML libraries
  • Experience with cloud platforms and scalable data systems
  • Familiarity with multiple modeling techniques
  • Strong communication skills

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.

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