Description

Apply machine learning and predictive analytics to enhance operational decision-making and recommendation systems.

This role is hybrid.

Responsibilities

• Develop predictive and prescriptive analytics solutions to improve operational efficiency.
• Query historical data efficiently to generate descriptive insights and actionable recommendations.
• Build recommendation systems that consider future operational needs alongside current requirements.
• Implement statistical modeling and feature engineering to drive data science initiatives.

Required Skills

• 9+ years of experience in Data Science or Applied Machine Learning.
• Strong proficiency in Python for data analysis and modeling.
• Expertise in SQL and advanced data querying techniques.
• Experience with Machine Learning frameworks and algorithms.
• Background in Operations Research or Decision Science.
• Ability to translate data insights into strategic business recommendations.

Preferred Skills

• Domain experience in Airlines, Transportation, Logistics, Supply Chain, or Manufacturing.
• Knowledge of Time Series forecasting and recommendation systems.

Key Skills

Education

Any Graduate