Atlas Air is looking for an exceptional Senior Director of Data Science & Analytics to lead our data-driven transformation and unlock actionable insights that will drive business growth, operational excellence, and fuel Atlas Air’s competitive advantage in the outsourced aviation industry.
Requirements
- 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.
- Proven track record of building and scaling data science teams in high-growth environments.
Responsibilities
- Drive the development of advanced analytics, machine learning, and AI solutions to solve complex business problems.
- 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.
- Lead and mentor a team of data scientists, machine learning engineers, and data analysts, fostering innovation, growth, and technical excellence.
- Develop and track key performance indicators to measure the impact of data initiatives.
- Partner with executive leadership to identify high-impact data use cases that drive measurable business outcomes.
- Build and maintain strong relationships with key stakeholders across the organization.
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.
- Outstanding communication skills with ability to present complex technical concepts to non-technical stakeholders.
- Proven ability to influence and drive change across organizations.
- Present insights and recommendations to executive and senior stakeholders.
