Time Series Forecasting Jobs in Florida (NOW HIRING)

Develop statistical and machine learning models supporting initiatives such as demand forecasting, staffing optimization, and operational planning * Build time series models and predictive analytics ...

The successful candidate should possess deep expertise in time-series forecasting, machine learning operations, and building scalable data pipelines. They must demonstrate the ability to transform ...

Job expectations include strong quantitative skills and experience in time series forecasting, simulation modelling, operations research, and analytics. The Data & Modeling team in Global Operations ...

... NLP, time-series forecasting and other statistical analyses • Experience building APIs for the models • Strong written & verbal communication skills; including the ability to present detailed ...

Statistical Modeling Deep understanding of statistical concepts and a wide range of machine learning algorithms| with proven experience in time-series forecasting and anomaly detection. Big Data ...

... time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and ...

Build and maintain time-series forecasting models (ARIMA, LSTM, XGBoost, Prophet) for load, generation, and market price prediction. * Conduct optimization, scenario analysis, and stochastic modeling ...

Knowledge of regression analysis, time-series forecasting ARIMA/Prophet, optimization algorithms, and common machine learning packages (scikit-learn, XGBoost, etc.).* Analytical Curiosity: A natural ...

Experience in time series forecasting and machine learning techniques * Strong data science skills * Strong coding skills: proficiency in Python, SQL DBs, Cloud, schedulers, containers, CI/CD ...

Knowledge of regression analysis, time-series forecasting ARIMA/Prophet, optimization algorithms, and common machine learning packages (scikit-learn, XGBoost, etc.). * Analytical Curiosity: A natural ...

Knowledge of regression analysis, time-series forecasting ARIMA/Prophet, optimization algorithms, and common machine learning packages (scikit-learn, XGBoost, etc.). * Analytical Curiosity: A natural ...

Apply appropriate techniques including time-series forecasting, regression, classification, optimization, or simulation based on business need. * Select modeling approaches grounded in business ...

Apply appropriate techniques including time-series forecasting, regression, classification, optimization, or simulation based on business need. * Select modeling approaches grounded in business ...

... rigorous time-series validation frameworks * Apply statistical methods to distinguish true signal from noise and overfitting * Build and evaluate machine learning models for forecasting and ...

Predictive Model Development -- Design, implement, and deploy statistical and machine-learning models (including time-series forecasting) to support underwriting, claims, pricing, and risk ...

Key Responsibilities Advanced Analytical Modeling (45%) Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical ...

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...

Build end-to-end products: build products independently and iterate quickly based on business feedback including data pipeline and snowflake tables, forecasting and time-series models, inventory and ...

Key Responsibilities Advanced Analytical Modeling (45%) • Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical ...

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...