Atlas Air is looking to unlock actionable insights to drive business growth, operational excellence, and fuel its competitive advantage in the outsourced aviation industry through data-driven transformation.
Requirements
- Advanced degree (MS/PhD) in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative field.
- Deep expertise in machine learning, statistical modeling, experimental design, and causal inference.
- Strong proficiency in Python, R, SQL, and modern data science tools and frameworks.
- Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt, etc.).
- Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, etc.).
- Background in machine learning operations (MLOps) and data science infrastructure.
- Experience with real-time analytics, recommendation systems, or customer analytics.
Responsibilities
- Partner with executive leadership to identify high-impact data use cases that drive measurable business outcomes.
- Define and execute the comprehensive data science, machine learning and analytics strategic roadmap aligned with business objectives and value creation goals.
- Build data science capabilities from the ground up, establishing best practices, methodologies, and governance frameworks.
- Drive the development of advanced analytics, machine learning, and AI solutions to solve complex business problems.
- Develop and track key performance indicators to measure the impact of data initiatives.
- Build and maintain strong relationships with key stakeholders across the organization.
- Present insights and recommendations to executive and senior stakeholders.
Other
- 12+ years of progressive experience in data science and analytics, with at least 5 years in leadership roles.
- Demonstrated success in translating complex analytical insights into actionable business strategies.
- Proven track record of building and scaling data science teams in high-growth environments.
- Outstanding communication and interpersonal skills with the ability to influence at all levels.
- Travel requirements not specified, but may be required for industry conferences or company meetings.