Position Summary: We are looking for a brilliant and highly motivated StaffData Scientist to join our innovative Data Analytics and Optimization team! This isn't just another analytics role - you'll be at the forefront of transforming Atlas Air through the power of data.

In this position, you will develop data-driven technology solutions for a variety of high-dimensional resource management problems in aviation involving complex trade-offs under uncertainty. You will collaborate with leaders across our organization to uncover hidden opportunities, tackle challenging data puzzles, and build sophisticated predictive and prescriptive models that drive real-world impact. Your insights won't just live in dashboards - the fruits of your work will shape our strategic direction, be operationalized in our processes, and will fuel our competitive advantage.

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical concepts into compelling stories that inspire action among non-technical leaders.

If you're passionate about using cutting-edge science and technology to solve meaningful problems and want to be part of a team that values your analytical superpowers, this role is your next adventure!

Major Accountabilities:

• Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities for leveraging data to drive business solutions around airline operations.
• Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success metrics.
• Translate business requirements into data science or analytics projects with well-defined deliverables and timelines.
• Design and conduct experiments to test hypotheses and measure the impact of work against objectives.
• Collect, process, clean, and analyze structured and unstructured data from various internal and external sources.
• Extract, transform, and analyze large datasets from various sources.
• Perform exploratory data analysis to uncover patterns, trends, and relationships within large datasets.
• Design, develop, and maintain sophisticated decision support tools leveraging machine learning and optimization models and algorithms to solve business challenges and unlock value.
• Create clear data visualizations and compelling narratives to communicate findings to technical and non-technical audiences.
• Mentor less experienced data scientists, providing technical guidance, setting clear objectives, and fostering professional growth.
• Stay current with emerging techniques and technologies in data science and machine learning.
• Collaborate with data engineering to implement production-ready solutions.
• Monitor model performance and iterate on solutions as needed.
• Establish best practices and methodologies for the data science function.
• Research and implement new methodologies and technologies to improve Atlas Air's data and AI/ML

Qualifications:

Must-Have:

• Master's degree or Ph.D. 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 similar analytical role, with a track record of impact.
• Expertise in programming languages such as Python, R, or similar programming languages for data analysis.
• Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.).
• Strong knowledge of statistical analysis and hypothesis testing.
• Strong understanding of statistical modeling, machine learning algorithms, hypothesis testing, and optimization.
• Excellent communication, presentation, and interpersonal skills with the ability to translate complex technical concepts to non-technical audiences.
• Proven ability to translate business requirements into technical solutions.
• Proven ability to apply software engineering best practices.
• Experience working in production-grade Python code including proficiency with git, testing, and other software engineering best practices.

Nice-to-Have:

• Master's degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Domain expertise in aviation, transportation, or logistics.
• History of technical leadership on significant data science initiatives.
• Contributions to related research publications and/or open-source projects.
• Experience with big data platforms (e.g., Spark/Databricks).
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
• Experience with optimization libraries (OR-Tools, Gurobi, or CPLEX)

Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package.

Pay Range

$165,000-$225,000 USD