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.