Data Scientist/Senior Data Scientist

About the job

Job Title: Data Scientist/Senior Data Scientist – Forecasting Location: Delhi & Kolkata (Hybrid) Experience: 3–10 years Employment Type: Full-time Aria Intelligent Solutions is a cutting-edge AI company that specializes in building scalable AI solutions to its clients in various domains, starting from Retail, Pharmaceuticals to FMCG. We’re a fast-growing, innovation-driven team committed to solving real-world problems through cutting-edge AI and machine learning technologies. We are looking for a Data Scientist/Senior Data Scientist with strong expertise in forecasting and time-series modeling to lead the design, development, and deployment of predictive solutions. The ideal candidate will work closely with product, engineering, and business teams to translate complex data into actionable insights and robust forecasting systems. 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. Build scalable data pipelines and model workflows for production environments. Evaluate and improve model performance using appropriate error metrics (MAPE, RMSE, MAE, etc.). Mentor junior data scientists and contribute to best practices across the data science team. • 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. • 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). Work on impactful AI products with real-world applications. Competitive compensation and growth opportunities.