Staff Data Scientist

Atlas Air Worldwide

On-sitePosted 26 июля 2026 г.

About the role

Atlas Air Worldwide is seeking a Staff Data Scientist to join the Data Analytics and Optimization team. This on-site role focuses on developing data-driven technology solutions for high-dimensional resource management problems in aviation, balancing trade-offs under uncertainty while turning insights into operational improvements. The position is based in Miami, Florida, United States, with additional hubs in White Plains, New York and Erlanger, Kentucky. Pay range is $165,000—$225,000 USD with a comprehensive benefits package.

Staff Data Scientist

Atlas Air Worldwide

On-sitePosted 26 июля 2026 г.

About the role

Atlas Air Worldwide is seeking a Staff Data Scientist to join the Data Analytics and Optimization team. This on-site role focuses on developing data-driven technology solutions for high-dimensional resource management problems in aviation, balancing trade-offs under uncertainty while turning insights into operational improvements. The position is based in Miami, Florida, United States, with additional hubs in White Plains, New York and Erlanger, Kentucky. Pay range is $165,000—$225,000 USD with a comprehensive benefits package.

Key responsibilities include leading cross-functional data science projects with stakeholders across engineering, product, and business units; translating business requirements into well-defined analytics projects; designing experiments to test hypotheses; collecting, cleaning, and analyzing large structured and unstructured datasets; building and maintaining advanced machine learning and optimization models; creating clear data visualizations and compelling narratives for technical and non-technical audiences; mentoring junior data scientists; staying current with emerging data science techniques; collaborating with data engineering to deploy production-ready solutions; monitoring model performance and iterating as needed; and establishing best practices for the data science function.

Qualifications include a Master’s degree or PhD in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; 5+ years of hands-on experience in a data science or analytical role with a track rec

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Key responsibilities include leading cross-functional data science projects with stakeholders across engineering, product, and business units; translating business requirements into well-defined analytics projects; designing experiments to test hypotheses; collecting, cleaning, and analyzing large structured and unstructured datasets; building and maintaining advanced machine learning and optimization models; creating clear data visualizations and compelling narratives for technical and non-technical audiences; mentoring junior data scientists; staying current with emerging data science techniques; collaborating with data engineering to deploy production-ready solutions; monitoring model performance and iterating as needed; and establishing best practices for the data science function.