Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with current age technology to simplify the consumption of data for our customers in various industry verticals.
We are looking for a hands-on Senior Data Scientist with strong expertise in traditional Machine Learning, retail analytics, pricing optimization, and demand forecasting. The ideal candidate will have experience working in Retail, CPG, or E-Commerce environments and will play a key role in designing and scaling ML-driven pricing and promotion solutions.
Roles and Responsibilities
- Lead the design, development, and deployment of scalable machine learning solutions focused on pricing optimization, demand forecasting, and promotion planning.
- Build and improve statistical and machine learning models for:
- Demand forecasting
- Price elasticity modeling
- Promotion optimization
- Inventory and revenue forecasting
- Design, build and deploy robust ML pipelines in Databricks, build model monitoring systems,



and production-ready APIs.
- Ability to design and evaluate transformer-based time series forecasting models for large-scale retail sales forecasting and demand planning.
- Drive experimentation, model evaluation, and continuous improvement of forecasting and pricing models.
- Analyze large-scale structured and unstructured retail datasets to uncover trends, customer behavior patterns, and pricing insights.
- Develop data-driven strategies that help maximize revenue, profitability, and pricing efficiency across products and categories.
- Apply advanced statistical techniques and machine learning algorithms to solve complex retail business problems.
- Collaborate closely with Product, Engineering, Data Engineering, and Business teams to translate business requirements into scalable ML solutions.
- Mentor junior data scientists and provide technical guidance across cross-functional teams.
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📌 Data Scientist_ML (Bengaluru)
🏢 Hypersonix
📍 Bengaluru