Data Scientist - Forecasting

Job Title:

Location:

Experience:

Employment Type:

About Us

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.

Role Overview

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.

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

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)

Why Join Us

• Work on impactful AI products with real-world applications
• Collaborative, innovation-driven culture
• Opportunity to influence product direction and architecture
• Competitive compensation and growth opportunities