Data Scientist leveraging analytics to modernize logistics tools for federal programs. Developing automated workflows and utilizing machine learning techniques for insights.
Responsibilities
Develop automated data analysis workflows to increase productivity for logistics and supply chain planning teams.
Implement data extraction, cleaning, and integration processes to provide up-to-date logistics data for optimization models and decisions support applications.
Lead small teams in creating ETL pipelines from various logistics data sources.
Utilize advanced statistical and machine learning techniques (e.g., forecasting, optimization, predictive analytics) to extract insights from logistics and supply chain data.
Develop and maintain data to enable supply chain network visibility, reporting and analysis.
Implement logistics systems data quality control processes through programming (e.g., VBA, Python, LabVIEW).
Identify and address data quality issues and discrepancies.
Processing, cleansing, and verifying the integrity of data to ensure accurate analysis.
Requirements
Bachelor's degree in a quantitative field such as Operations Research, Industrial Engineering, Supply Chain Management, Mathematics, Statistics, or a related discipline.
3+ years of demonstrated experience applying data science/analytics in a logistics/supply environment.
Experience developing interactive data visualizations (e.g. Qlik, Power Platforms, Tableau, Dash, Shiny).
Strong background in statistical analysis, forecasting and operations research techniques.
Experience working with complex supply chain datasets like order management, inventory etc.
Familiarity with cloud computing platforms, data warehousing, and database management.
Excellent problem-solving, critical thinking skills, and a strong attention to detail.
Outstanding communication skills – both verbal and written.
Ability to adapt to changing supply chain priorities and disruptions.
Superior communication skills, both oral and written.
This position requires an active security clearance at the SECRET level. You must be a US citizen.
Manager leading data science and machine learning initiatives for healthcare payer clients. Focused on operational efficiency, mentoring teams, and actionable insights to reduce costs and improve health outcomes.
Senior Data Scientist at Michelin coding and deploying production - ready AI solutions. Developing reusable AI components with a focus on LLM frameworks and Azure Cloud.
Lead Data Scientist using advanced statistical techniques at Travelers to drive analytics and develop solutions. Collaborating with teams to enhance business intelligence through data insights.
Director, Head of Data leading vision and management of data strategy and environment at AAA Life. Collaborating across teams to build a high - performing data organization.
Data Science Manager Senior overseeing analytics projects leveraging complex data for actionable insights at PNC. Leading teams to deliver data - driven business solutions.
Senior Data Scientist developing valuation analytics for marketing strategies at PNC. Delivering analytical solutions for improving decision - making and optimizing marketing strategies.
Data Scientist developing machine learning models that integrate into Authenticx's SaaS platform. Collaborating with engineers to build, train, and deploy models in a regulated environment.
Data Scientist at Capital One working with AI software engineering across customer data. Collaborating with teams to build data - driven solutions and machine learning models.
Data Scientist supporting the development of data - driven AI solutions at Allstate. Collaborating across teams and contributing to machine learning and AI deployment.
Junior Business Data Scientist at Ekimetrics analyzing data for marketing strategy and effectiveness. Collaborating with teams to provide actionable insights and recommendations based on data analysis.