Job Summary:
Total Quality Logistics is seeking an Associate Data Scientist to support the development and maintenance of data-driven models and analytics solutions. This role is designed for early-career professionals eager to learn modern data science practices while contributing to real-world business outcomes.
Responsibilities:
• Assisting in the development and maintenance of machine learning models and analytics pipelines
• Supporting both batch and streaming data workflows under guidance from senior team members
• Collaborating with business partners to understand data needs and analytical questions
• Working with Python, SQL, and modern ML libraries in cloud-based environments
• Supporting Retrieval-Augmented Generation (RAG) pipelines and foundational AI integrations
• Monitoring model performance and supporting data quality and operational maintenance
• Contributing to dashboards, visualizations, and data products used across the organization
Qualifications:
Required:
• Bachelor’s degree in a technical field or equivalent practical experience
• Foundational experience with Python and data analysis libraries
• Basic understanding of machine learning concepts and data modeling
• Familiarity with SQL and structured datasets
• Strong problem-solving skills and eagerness to learn
• Ability to communicate clearly and collaborate effectively
Company:
The logistics industry is a $500 billion market. Founded in 1997, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.