Data Scientist - CPG/Revenue Growth Management

About Us 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. Were looking for a highly motivated 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.

Job Role : Data Scientist - CPG / Revenue Growth Management

Job Location : Bengaluru

Exp : 4+ years

Notice Period : immediate - 15 days preferred

Roles & Responsibilities :

• 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
• Bayesian methods
• MILP
• Reinforcement learning (preferred)

Foundation models / GenAI applications (good to have)

Requirements :

Bachelors/Master’s/PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or related field.

4+ 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.