Data Scientist - CPG/Revenue Growth Management

Asper.ai; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Asper.ai is seeking a Lead Data Scientist to drive the development of next-generation forecasting and revenue growth management solutions for the CPG industry. You will design scalable ML systems, leverage cloud platforms, and lead production-grade model implementations aligned with enterprise goals.

The role requires strong analytics, deep learning and probabilistic forecasting experience, plus hands-on work with MLOps, real-time inference pipelines, and cross-functional collaboration to

Qualifications

• 6+ years of experience in Data Science/ML roles, preferably in enterprise SaaS or CPG/Retail domains.
• Experience building production-grade ML systems and scalable pipelines.
• Strong understanding of ML system design and software engineering principles.

Responsibilities

• AI/ML Solution Development for forecasting and revenue growth management.
• Design and develop scalable ML/AI models for elasticity estimation and demand forecasting.
• Forecast attribution to drivers and time-series anomaly detection.
• Develop simulation and constrained optimization systems for enterprise use.
• Apply deep learning and probabilistic forecasting with hierarchical modelling.

Skills

Time-series

ML systems

Cloud platforms

Problem solving

Communication

Tools

Azure

AWS

GCP

Job description

Asper.ai is a cutting-edge AI-based SaaS company focused on revolutionizing enterprise decision making, through demand planning and Revenue growth management for the Consumer-Packaged Goods (CPG) industry. We’re looking for a highly motivated Lead Data Scientist to drive the development of next-generation AI solutions for forecasting and revenue growth management in the Consumer-Packaged Goods (CPG) industry. This role combines advanced machine learning, scalable AI system design, and product thinking to build enterprise-grade solutions used by global CPG organizations.

Key Responsibilities

• AI/ML Solution Development
• Design and develop scalable ML/AI models for:
• Elasticity estimation
• Demand forecasting
• Forecast attribution to drivers
• Time-series anomaly detection
• Simulation and constrained optimization systems

Build robust statistical and machine learning solutions using techniques such as:

• Deep learning
• Probabilistic forecasting
• Hierarchical modelling

Required Skills

6+ years of experience in Data Science/ML roles, preferably in enterprise SaaS or CPG/Retail domains.

Time-series analysis

Machine learning

• Experience building production-grade ML systems and scalable pipelines.
• Strong understanding of ML system design and software engineering principles.
• Experience with cloud platforms (Azure/AWS/GCP) and distributed systems.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience in CPG/Retail forecasting or Revenue Growth Management.
• Exposure to GenAI/LLM-based applications and AI agents.
• Experience with MLOps tools, orchestration systems, and real-time inference pipelines.
• Published research, patents, or participation in AI competitions/hackathons.