Análisis de Series Temporales Jobs

I need a hands-on data scientist to turn a set of time-stamped records into a working regression model that can reliably forecast future values. The project’s primary objective is to develop a predictive model—specifically, a regression solution built on time series data. Here is what I will provide: • A cleaned, well-structured dataset (CSV) that includes the historical target variable and supporting features. • A short brief on the business context and the key performance metric I care about. What I expect from you: • Exploratory analysis that highlights trends, seasonality, outliers, and any useful lags or engineered features. • A robust regression model suited to time-series behaviour (ARIMA, Prophet, XGBoost, LSTM, or similar—feel free t...

I need a hands-on data scientist to turn a set of time-stamped records into a working regression model that can reliably forecast future values. The project’s primary objective is to develop a predictive model—specifically, a regression solution built on time series data. Here is what I will provide: • A cleaned, well-structured dataset (CSV) that includes the historical target variable and supporting features. • A short brief on the business context and the key performance metric I care about. What I expect from you: • Exploratory analysis that highlights trends, seasonality, outliers, and any useful lags or engineered features. • A robust regression model suited to time-series behaviour (ARIMA, Prophet, XGBoost, LSTM, or similar—feel free t...