Data Scientist - CPG/Revenue Growth Management

Asper Ai; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Asper.ai is a cutting-edge AI SaaS company focused on demand planning and Revenue Growth Management for the CPG industry. We seek a Data Scientist to develop next-gen AI solutions for forecasting and revenue growth management in enterprise settings.

The role is based in Bengaluru, requires 4+ years of experience, and involves designing scalable ML models, time-series analysis, and GenAI applications to support global CPG clients.

Qualifications

• 4+ years in Data Science/ML roles, preferably in enterprise SaaS or CPG/Retail domains.
• Strong expertise in time-series, ML, statistical modelling, and Python data stack.
• Experience building production-grade ML systems and scalable pipelines.
• Knowledge of ML system design, software engineering principles, and cloud platforms.

Responsibilities

• Design and develop scalable ML/AI models for elasticity estimation and demand forecasting.
• Forecast attribution to drivers and time-series anomaly detection.
• Build simulations and constrained optimization systems.
• Explore foundation models / GenAI applications and real-time inference pipelines.

Skills

Time-series analysis

Machine learning

Statistical modelling

Python ecosystem

Production ML systems

ML system design

Cloud platforms

Communication

Education

Bachelor's/Master's/PhD in CS/Stats/Math/Economics/OR

Tools

Pandas

NumPy

Scikit-learn

PyTorch/TensorFlow

Prophet

Stan/PyMC

Job description

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. We're 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.