Data Scientist

TQL • Cincinnati, OH

46d • Onsite

About The Position

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

Requirements

• 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

• 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

Benefits

• health coverage
• dental coverage
• vision coverage
• 401(k) with company match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree