ATPCO is seeking to tackle some of the most exciting and impactful data challenges within the airline industry by developing innovative Artificial Intelligence (AI), Machine Learning (ML), and Data Science solutions.
Requirements
- Mastery of SQL and advanced programming skills in Python or R, with deep familiarity in data manipulation libraries (e.g., Pandas, NumPy, SciPy) and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- In-depth understanding of statistical methods, machine learning algorithms, and state-of-the-art time-series analysis techniques.
- Experience with cloud platforms and big data technologies (e.g., Apache Spark, AWS Redshift, AWS SageMaker) to support scalable model deployment and data processing.
- Familiarity with data visualization tools (e.g., Tableau, AWS Quick Sight, Matplotlib, Seaborn).
- Advanced degree (Master’s or PhD) in Computer Science, Statistics, Mathematics, Analytics, Airline Management or a related field, with a strong emphasis on AI and machine learning.
- Extensive experience as a Data Scientist with a demonstrated track record in developing and deploying advanced predictive models, particularly with time-series and structured/unstructured data.
- Prior experience in leadership, mentoring, and guiding technical teams in a dynamic, results-driven environment.
Responsibilities
- Lead the gathering, cleaning, and preprocessing of complex time-series and other datasets from multiple sources (e.g., S3, Redshift, MySQL, APIs).
- Design and optimize robust data pipelines that ensure high data quality and consistency for advanced modeling work.
- Design, develop, and fine-tune advanced predictive models to forecast demand and changes in market trends, leveraging techniques such as deep learning, reinforcement learning, and statistical methods.
- Create sophisticated algorithms to detect nuanced market dynamics—such as pricing undercuts, competitive position shifts, and demand anomalies—in close collaboration with subject matter experts.
- Champion the integration of machine learning techniques to streamline data collection and improve delivery processes.
- Oversee the deployment of models into production systems, ensuring seamless integration with real-time decision-making infrastructure.
- Collaborate with data engineers and DevOps teams to guarantee that models operate under optimal conditions and can quickly adapt to changing data patterns.
Other
- Act as a key liaison between technical teams and business stakeholders, ensuring data-driven insights align with strategic business goals.
- Mentor and guide junior team members while fostering a collaborative environment to support cross-functional project initiatives.
- Translate complex analytical findings into actionable strategies, leveraging clear data visualizations, comprehensive reports, and engaging presentations.
- Provide technical leadership in the evaluation of advanced models, establishing best practices for model development, validation, and continuous improvement.
- Advanced degree (Master’s or PhD) in Computer Science, Statistics, Mathematics, Analytics, Airline Management or a related field, with a strong emphasis on AI and machine learning.
