Data Scientist

Total Quality Logistics

Cincinnati (OH)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package
401(k) with company match

Job summary

Total Quality Logistics in Cincinnati, Ohio is seeking a Data Scientist to design, build, and deploy advanced analytics and machine learning solutions. You will be responsible for driving projects from definition to deployment, ensuring scalable and impactful solutions.

The ideal candidate has a strong background in Python, machine learning, and cloud platforms. This role offers a comprehensive benefits package including health, dental, vision coverage, and a 401(k) plan with company match.

Qualifications

  • 3-5 years of professional data science or machine learning experience.
  • Strong familiarity with multiple modeling techniques.
  • Experience in building and maintaining ML pipelines.

Responsibilities

  • Develop and deploy predictive, prescriptive, and inferential models.
  • Translate ambiguous business problems into analytical solutions.
  • Monitor model performance and data drift.

Skills

Proficiency in Python
Machine Learning libraries
Strong communication skills

Education

Advanced degree or equivalent experience

Tools

Cloud platforms
Scalable data systems

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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