Machine Learning Engineer, Time Series Models

As a Data Scientist/Senior Data Scientist specializing in forecasting and time-series modeling at Aria Intelligent Solutions, you will play a crucial role in designing, developing, and deploying predictive solutions. Your primary focus will be on translating complex data into actionable insights and robust forecasting systems in collaboration with product, engineering, and business teams. Key Responsibilities: - Design, develop, and deploy forecasting and time-series models for various business and product use cases. - Apply statistical and machine learning techniques such as ARIMA/SARIMA, Prophet, state-space models, XGBoost, LSTM, and ensemble methods. - Analyze historical data to identify trends, seasonality, anomalies, and external drivers. - Collaborate with product managers and stakeholders to define forecasting requirements and success metrics. - Build scalable data pipelines and model workflows for production environments. - Evaluate and enhance model performance using appropriate error metrics (MAPE, RMSE, MAE, etc.). - Communicate insights and forecasts clearly through dashboards, reports, and presentations. - Mentor junior data scientists and contribute to best practices across the data science team. Required Skills & Qualifications: - 3+ years of hands-on experience in data science with a strong focus on forecasting. - Solid foundation in statistics, probability, and time-series analysis. - Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels). - Experience with forecasting libraries such as Prophet, pmdarima, darts, or equivalent. - Experience working with SQL and large datasets. - Understanding of model deployment, monitoring, and retraining in production. - Ability to translate business problems into analytical solutions. Good to Have: - Experience with deep learning models for time-series (LSTM, GRU, Temporal CNNs). - Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools. - Experience in domains like retail, supply chain, finance, demand forecasting, or market intelligence. - Knowledge of data visualization tools (Power BI, Tableau, or similar). At Aria Intelligent Solutions, you will have the opportunity to work on impactful AI products with real-world applications in a collaborative, innovation-driven culture. You will also have the chance to influence product direction and architecture while enjoying competitive compensation and growth opportunities. As a Data Scientist/Senior Data Scientist specializing in forecasting and time-series modeling at Aria Intelligent Solutions, you will play a crucial role in designing, developing, and deploying predictive solutions. Your primary focus will be on translating complex data into actionable insights and robust forecasting systems in collaboration with product, engineering, and business teams. Key Responsibilities: - Design, develop, and deploy forecasting and time-series models for various business and product use cases. - Apply statistical and machine learning techniques such as ARIMA/SARIMA, Prophet, state-space models, XGBoost, LSTM, and ensemble methods. - Analyze historical data to identify trends, seasonality, anomalies, and external drivers. - Collaborate with product managers and stakeholders to define forecasting requirements and success metrics. - Build scalable data pipelines and model workflows for production environments. - Evaluate and enhance model performance using appropriate error metrics (MAPE, RMSE, MAE, etc.). - Communicate insights and forecasts clearly through dashboards, reports, and presentations. - Mentor junior data scientists and contribute to best practices across the data science team. Required Skills & Qualifications: - 3+ years of hands-on experience in data science with a strong focus on forecasting. - Solid foundation in statistics, probability, and time-series analysis. - Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels). - Experience with forecasting libraries such as Prophet, pmdarima, darts, or equivalent. - Experience working with SQL and large datasets. - Understanding of model deployment, monitoring, and retraining in production. - Ability to translate business problems into analytical solutions. Good to Have: - Experience with deep learning models for time-series (LSTM, GRU, Temporal CNNs). - Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools. - Experience in domains like retail, supply chain, finance, demand forecasting, or market intelligence. - Knowledge of data visualization tools (Power BI, Tableau, or similar). At Aria Intelligent Solutions, you will have the opportunity to work on impactful AI products with real-world applications in a collaborative, innovation-driven culture. You will also have the chance to influence product direction and architecture while enjoying competitive compensation and growth opportunities.