Data Scientist Forecasting

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. Working closely with product, engineering, and business teams, you will translate complex data into actionable insights and robust forecasting systems. Key Responsibilities - Design, develop, and deploy forecasting and time-series models for various business and product use cases. - Utilize 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. - Create scalable data pipelines and model workflows for production environments. - Evaluate and enhance model performance using error metrics like MAPE, RMSE, MAE, etc. - Clearly communicate insights and forecasts through dashboards, reports, and presentations. - Mentor junior data scientists and contribute to best practices within the data science team. Required Skills & Qualifications - 3+ years of hands-on experience in data science with a strong emphasis 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. - Familiarity with SQL and handling large datasets. - Understanding of model deployment, monitoring, and retraining in production environments. - Ability to translate business problems into analytical solutions. Good to Have - Experience with deep learning models for time-series such as LSTM, GRU, Temporal CNNs. - Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools. - Background in domains like retail, supply chain, finance, demand forecasting, or market intelligence. - Knowledge of data visualization tools like Power BI, Tableau, or similar. In addition, at Aria Intelligent Solutions, you will have the opportunity to work on impactful AI products with real-world applications, be part of a collaborative and innovation-driven culture, influence product direction and architecture, and benefit from 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. Working closely with product, engineering, and business teams, you will translate complex data into actionable insights and robust forecasting systems. Key Responsibilities - Design, develop, and deploy forecasting and time-series models for various business and product use cases. - Utilize 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. - Create scalable data pipelines and model workflows for production environments. - Evaluate and enhance model performance using error metrics like MAPE, RMSE, MAE, etc. - Clearly communicate insights and forecasts through dashboards, reports, and presentations. - Mentor junior data scientists and contribute to best practices within the data science team. Required Skills & Qualifications - 3+ years of hands-on experience in data science with a strong emphasis 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. - Familiarity with SQL and handling large datasets. - Understanding of model deployment, monitoring, and retraining in production environments. - Ability to translate business problems into analytical solutions. Good to Have - Experience with deep learning models for time-series such as LSTM, GRU, Temporal CNNs. - Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools. - Background in domains like retail, supply chain, finance, demand forecasting, or market intelligence. - Knowledge of data visualization tools like Power BI, Tableau, or similar. In addition, at Aria Intelligent Solutions, you will have the opportunity to work on impactful AI products with real-world applications, be part of a collaborative and innovation-driven culture, influence product direction and architecture, and benefit from competitive compensation and growth opportunities.