About this opportunity
Total Quality Logistics lists this Data Scientist opportunity in cincinnati, Ohio. Review the employer’s description below for duties, qualifications and application requirements.
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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Worksite address
cincinnati, OH, 45208, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.