Description

Responsibilities:

• Works on OR tupe of tools, they will be adding ML and data science within tool to improve suggestions / recommendations and decision making.
• Predictive analytics, ML, DS,
• Access historical data, query efficiently, summarize history, and come up with insights (descriptive analysis) and then move to prescriptive to inform decision making
• Don't just fulfill right now needs, consider future while making recommendations for today

Requirements:

• Experience: 8–12+ years (9+ years preferred).
• Role Background: Senior Data Scientist or Applied ML Engineer with experience developing predictive and prescriptive analytics solutions that improve operational decision-making.
• Domain Background: Airlines, Transportation, Logistics, Supply Chain, Manufacturing, Industrial Analytics, or other operations-intensive industries.
• Critical Skills:
• Python
• Machine Learning
• Data Science
• Predictive Analytics
• Prescriptive Analytics
• Statistical Modeling
• Feature Engineering
• SQL & Data Querying
• Data Exploration & Visualization
• Decision Science
• Operations Research concepts
• Recommendation Systems
• Time Series / Forecasting (Preferred)
• Years of Experience:   9.00 Years of Experience

Key Skills

Education

Any Graduate