Data Scientist

Total Quality Logistics

• $80K — $110K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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

Responsibilities

  • Develop and deploy predictive, prescriptive, and inferential models
  • Translate ambiguous business problems into analytical solutions
  • Build and maintain Python-based ML pipelines in cloud environments
  • Work with structured and unstructured data
  • Monitor model performance and data drift
  • Improve shared tools, frameworks, and best practices
  • Communicate insights and recommendations to stakeholders

Benefits

  • 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
Full Job Description
General information

Country

USA

State

Ohio

City

Cincinnati

Descriptions & requirements

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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