Role Overview:

As a Data Scientist at Impact Analytics, you will take ownership of end-to-end forecast generation—from data ingestion to delivery—using IA’s Ada forecast engine. This engine combines diverse AI and machine learning algorithms, including deep learning (CNN, RNN, TFT), time series models, and others, continuously improving forecasts. Your role involves weekly simulations, model updates for multiple clients, forecasting accuracy reporting, root cause analysis, and supporting R&D for forecast improvements. Collaboration with product and analytics teams is key, maintaining strong stakeholder relations.

Key Responsibilities:

• Manage complete cycle of forecast generation for client products.
• Conduct weekly forecast accuracy analysis and perform root cause analysis.
• Support continuous improvement research in forecasting.
• Collaborate within cross-functional teams, including product and analytics groups.
• Deliver timely, high-quality forecasting insights to internal stakeholders.

Key Technical Skills:

Python, SQL, Excel, Machine Learning, Predictive Analytics, Time Series Forecasting, AI/ML Algorithms (Deep Learning, Regression, Decision Trees, ARIMAX, Prophet, N-BEATS), MLOps (preferred), Database management, Reporting, Data Visualization

Requirements:

• 1 to 3 years of experience as a Data Scientist.
• Strong programming skills in Python, SQL, and Excel.
• Solid foundation in statistics and machine learning.
• Hands-on experience building forecasting models in any domain.
• Exposure to predictive analytics and preferably MLOps platforms.
• Sound problem-solving skills, including root cause analysis and abstract thinking.
• Ability to communicate effectively, manage stakeholders, and work independently.
• Bachelor’s degree or equivalent with a strong academic record.
• Basic knowledge of retail processes such as demand forecasting, inventory allocation, merchandising, pricing, and promotions is a plus.

About Impact Analytics:

Impact Analytics is a Series D funded AI-native SaaS company specializing in predictive analytics and deep data insights. Their platform supports planning, forecasting, merchandising, pricing, and promotions for retail, grocery, manufacturing, and CPG sectors. Powered by over one million machine learning models, they innovate with advanced AI/ML techniques and lead in Agentic AI to deliver autonomous business solutions.