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:



 Linear regression  Gradient boosting  Deep learning  Probabilistic forecasting  Hierarchical modelling  Causal inference Required Skills 6+ years of experience in Data Science/ML roles, preferably in enterprise SaaS or CPG/Retail domains.
• Robust expertise in:  Time-series analysis  Machine learning  Statistical modelling  Python ecosystem (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Prophet, Stan/PyMC, etc.)
• 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.

📌 Data Scientist (Bengaluru)
🏢 Asper.ai
📍 Bengaluru