Data Scientist - CPG/Revenue Growth Management

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.

• Strong 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.