Lead Data Scientist

: 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.

Were 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

• Bachelors/Masters/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.