As a Data Scientist/Senior Data Scientist at Aria Intelligent Solutions, you will be responsible for leading the design, development, and deployment of predictive solutions with a strong focus on forecasting and time-series modeling. Your role will involve collaborating with product, engineering, and business teams to translate complex data into actionable insights and robust forecasting systems. Here are the key responsibilities:
Design, develop, and deploy forecasting and time-series models for 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 improve 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
Strong 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
Required Skills & Qualifications:
3+ years of hands-on experience in data science with a strong focus on forecasting
Strong 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