Data Analyst

Data Scientist – Supply Chain & Transportation Forecasting

Location: Atlanta, GA

Overview:

We are seeking a highly skilled and forward-thinking Data Scientist to join our Supply Chain Channel Management team. This role is ideal for someone with a strong background in machine learning, predictive modeling, and transportation analytics, who thrives in a research-driven environment. Unlike traditional reporting roles, this position focuses on developing advanced forecasting models to predict truckload movements in and out of distribution centers (DCs), enabling smarter, data-driven decisions across our supply chain network.

Key Responsibilities:

• Analyze transportation and logistics data to forecast truckload arrivals and departures at distribution centers using statistical and machine learning techniques.
• Design and implement predictive models to optimize supply chain flow and reduce bottlenecks.
• Conduct exploratory data analysis (EDA) and hypothesis-driven research to uncover patterns and trends in supply chain operations.
• Collaborate with cross-functional teams to identify business problems and translate them into data science solutions.
• Develop and maintain scalable data pipelines and modeling workflows using Python, SQL, and cloud-based tools.
• Communicate findings and model outputs through compelling visualizations and presentations tailored to both technical and non-technical stakeholders.
• Evaluate model performance and continuously improve accuracy through experimentation and feedback loops.
• Ensure data integrity and consistency across modeling efforts and analytical outputs.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Operations Research, or a related field.
• 3–5 years of experience in a data science or advanced analytics role, preferably within supply chain, logistics, or transportation.
• Strong proficiency in Python (including libraries like pandas, scikit-learn, NumPy) and SQL.
• Experience building and deploying machine learning models in production environments.
• Solid understanding of supply chain dynamics, transportation logistics, and distribution center operations.
• Ability to work independently on research-heavy projects and communicate complex findings clearly.
• Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.

Preferred Qualifications:

• Experience with time series forecasting, optimization algorithms, or simulation modeling.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and data warehouse technologies (e.g., Snowflake, Redshift).
• Exposure to ERP systems (e.g., SAP, Oracle) and transportation management systems (TMS).
• Background in inventory planning, demand forecasting, or network optimization.