A Linear Models developer designs, implements, and evaluates mathematical models that describe a system’s behavior. They primarily focus on linear regression models to predict outcomes based on input variables. They analyze data, identify trends and patterns, and use statistical analysis to validate models. This role involves programming, often in languages like Python or R, to develop these models. They also test and refine models based on performance. The models they create are used in various fields like finance, healthcare, and engineering for decision making, forecasting, and optimizing processes. They often collaborate with data scientists and analysts.