Description

You will implement theoretical models in applied environments to deliver data-driven solutions using ML and AI.

This role is remote.

Responsibilities

• Implement theoretical models within applied environments to solve complex problems.
• Develop data-driven solutions using machine learning and artificial intelligence.
• Apply statistical modeling and operations research techniques.
• Execute data querying and scripting to support model development.
• Move theoretical models into production environments.

Required Skills

• 8+ years of experience in data science, machine learning, or statistical modeling.
• Proficiency in Python.
• Proficiency in SQL.
• Strong understanding of statistics and machine learning.
• Solid foundation in operations research and causal inference.
• M.S. or Ph.D. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or a related quantitative field.

Key Skills

Education

Any Graduate