Data Scientist - Forecasting

Job Title: Data Scientist/Senior Data Scientist – ForecastingLocation: Delhi & Kolkata (Hybrid)Experience: 3–10 yearsEmployment Type: Full-timeAbout UsAria 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.Role OverviewWe 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.Key ResponsibilitiesDesign, develop, and deploy forecasting and time-series models for business and product use casesApply statistical and machine learning techniques such as ARIMA/SARIMA, Prophet, state-space models, XGBoost, LSTM, and ensemble methodsAnalyze historical data to identify trends, seasonality, anomalies, and external driversCollaborate with product managers and stakeholders to define forecasting requirements and success metricsBuild scalable data pipelines and model workflows for production environmentsEvaluate and improve model performance using appropriate error metrics (MAPE, RMSE, MAE, etc.)Communicate insights and forecasts clearly through dashboards, reports, and presentationsMentor junior data scientists and contribute to best practices across the data science teamRequired Skills & Qualifications3+ years of hands-on experience in data science with a strong focus on forecastingStrong foundation in statistics, probability, and time-series analysisProficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels)Experience with forecasting libraries such as Prophet, pmdarima, darts, or equivalentExperience working with SQL and large datasetsUnderstanding of model deployment, monitoring, and retraining in productionAbility to translate business problems into analytical solutionsGood to HaveExperience with deep learning models for time-series (LSTM, GRU, Temporal CNNs)Exposure to cloud platforms (AWS, Azure, GCP) and MLOps toolsExperience in domains like retail, supply chain, finance, demand forecasting, or market intelligenceKnowledge of data visualization tools (Power BI, Tableau, or similar)Why Join UsWork on impactful AI products with real-world applicationsCollaborative, innovation-driven cultureOpportunity to influence product direction and architectureCompetitive compensation and growth opportunities

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