Lead Data Scientist

Job Description: Lead Data Scientist

Location: Bangalore

Type: Full-Time

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 Lead Data Scientist to drive the development of next-generation AI solutions for forecasting and explaining demand 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.

You will work at the intersection of forecasting, explainable AI, and large-scale data systems to solve complex real-world business problems involving demand sensing, scenario planning, attribution, and supply-demand optimization.

This is a high-impact role requiring both technical depth and leadership capability to influence product direction, mentor teams, and collaborate cross-functionally with engineering, product, and customer stakeholders.

Key Responsibilities

AI/ML Solution Development

• Design and develop scalable ML/AI models for:

-Demand forecasting

-New product forecasting

-Forecast attribution to drivers

-Time-series anomaly detection

-Optimization and simulation systems

• Build robust statistical and machine learning solutions using techniques such as:

-Gradient boosting

-Deep learning

-Probabilistic forecasting

-Causal inference

-Bayesian methods

-Reinforcement learning (preferred)

-Foundation models / GenAI applications (good to have)

Product & Platform Innovation

• Contribute to the architecture of an enterprise AI SaaS platform with focus on:

-Scalability

-Explainability

-Configurability

-Multi-tenancy

-Plug-and-play AI modules

• Drive rapid experimentation and translate research into production-ready solutions.

• Develop reusable AI frameworks, feature engineering systems, validation pipelines, and experimentation tooling.

Leadership & Collaboration

• Lead and mentor a team of data scientists and ML engineers.

• Collaborate closely with Product, Engineering, Solutions, and Customer Success teams.

• Work directly with customers to understand business challenges and convert them into scalable AI solutions.

• Drive best practices in:

-ML system design

-MLOps

-Code quality

-Experiment tracking

-AI governance

-Explainability

Business Impact

• Deliver measurable improvements in forecasting accuracy, planner productivity, and business KPIs.

• Help shape the AI roadmap for strategic enterprise products in the CPG domain.

• Contribute to patents, research initiatives, and innovation programs.

Requirements

• Bachelor's/Master's/PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or related field.

• 6–10+ years of experience in Data Science/ML roles, preferably in enterprise SaaS or CPG/Retail domains.

• Strong expertise in:

-Time-series forecasting

-Machine learning

-Statistical modeling

-Python ecosystem (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)

• 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.