Brooksource
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
Bachelors or Masters degree in Data Science, Computer Science, Statistics, Operations Research, or a related field. 35 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Supply Chain Industries
IT Services and IT Consulting
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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
Bachelors or Masters degree in Data Science, Computer Science, Statistics, Operations Research, or a related field. 35 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Supply Chain Industries
IT Services and IT Consulting
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