Data Scientist

STG Logistics - Tropicana/Naked Juice Div.; Orlando (FL); Remote; USD 100,000 - 125,000; Part time

Job summary

A leading logistics provider is seeking a Part-Time Data Scientist to join their remote Data & Analytics team. The role involves analyzing data, building predictive models, and collaborating with various teams to enhance operational efficiency. Ideal candidates will have a strong background in data science and excellent communication skills, with the opportunity to work on impactful projects in a dynamic industry.

Benefits

Competitive hourly compensation

Opportunity to contribute to high-impact projects

Collaborative team culture

Exposure to technology-driven logistics

Qualifications

• 2+ years of experience in a data science or analytics role.
• Strong problem-solving skills and a passion for data-driven solutions.
• Must be self-directed and able to work independently.

Responsibilities

• Analyze large datasets to extract insights for strategic decision-making.
• Build and validate predictive models to optimize logistics operations.
• Visualize data and present findings to non-technical stakeholders.

Skills

Python

R

SQL

Data Visualization

Machine Learning

Problem Solving

Communication

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics

Tools

Tableau

Power BI

scikit-learn

TensorFlow

XGBoost

Job description

Job Title:

Part-Time Data Scientist (Remote)

Company:

STG Logistics

Location:

Remote (U.S.-based preferred)

Job Type:

Part-Time (15–25 hours/week)

Industry:

Logistics & Supply Chain

About STG Logistics:

STG Logistics is a leading provider of logistics and transportation services, specializing in port-to-door solutions across North America. With a strong network and advanced technology, we deliver customized, scalable services that help our clients streamline operations and reduce costs. Our commitment to innovation and data-driven decision-making sets us apart in the logistics industry.

Position Overview:

STG Logistics is seeking a highly analytical and motivated Part-Time Data Scientist to support our Data & Analytics team. In this remote role, you will work with cross-functional teams to develop predictive models, uncover insights, and drive operational efficiency using advanced analytics. This is a great opportunity for someone looking to apply their skills in a dynamic industry while enjoying the flexibility of part-time, remote work.

Key Responsibilities:

• Analyze large datasets to extract meaningful insights and support strategic decision-making.
• Build and validate predictive models and machine learning algorithms to optimize logistics operations (e.g., route efficiency, demand forecasting, capacity planning).
• Collaborate with IT, operations, and business teams to identify opportunities for automation and process improvement.
• Visualize data and present findings in a clear, actionable format to non-technical stakeholders.
• Ensure data quality and integrity in all analytical outputs.
• Stay up to date on industry trends and emerging technologies in data science and logistics.

Required Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 2+ years of experience in a data science, analytics, or similar quantitative role.
• Proficient in Python or R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost).
• Strong problem-solving skills and a passion for finding data-driven solutions.
• Excellent communication skills and the ability to translate complex findings into actionable business insights.
• Must be self-directed and able to work independently in a remote environment.

Preferred Qualifications:

• Previous experience in logistics, supply chain, or transportation analytics.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Understanding of optimization techniques and real-time data processing.

What We Offer:

• Competitive hourly compensation.
• Opportunity to contribute to high-impact projects with real business value.
• A collaborative, forward-thinking team culture.
• Exposure to a growing, technology-driven logistics leader.