A Linear Modeling developer creates, tests, and refines statistical models based on linear relationships between variables. They use these models to analyze and predict outcomes in various fields such as finance, economics, engineering, or science. Their work involves understanding the relationships between variables, defining assumptions, and validating the model's accuracy using statistical analysis. They also interpret and communicate the results to stakeholders for decision-making. Strong mathematical skills, proficiency in programming languages like Python or R, and knowledge of statistical techniques are essential for this role. They often work closely with data scientists and analysts.