Description

You will build and deploy data science solutions for aviation analysis.

Responsibilities

• Develop predictive and statistical models for delay prediction, demand forecasting, and maintenance analytics.
• Perform advanced feature engineering using large aviation datasets.
• Build and deploy ML pipelines using MLflow (Databricks) or Snowpark (Snowflake).
• Analyze trends and generate actionable insights for aviation stakeholders.
• Document experiments, track model performance, and ensure reproducibility.

Required Skills

• 5+ years of experience in Data Science.
• Strong foundation in Machine Learning and Statistics.
• Hands-on experience with Python, scikit-learn, and Spark ML.
• Experience deploying ML models at scale in production environments.
• Ability to translate complex analytical findings into clear business insights.
• Good understanding of cloud platforms (Azure, AWS, GCP).
• Experience working with large structured and semi-structured datasets.
• Familiarity with Databricks, Snowflake, MLflow, and Snowpark.

Key Skills

Education

Any Gradute