About the Role:
We are building the next-generation AI-powered Retail Technology platform—covering ERP, POS, OMS, WMS, Analytics and Agentic Workflows. As part of this transformation, we are hiring an Associate Data Scientist who is AI-native first—not restricted by languages, tools, or frameworks, but motivated by problem-solving, business impact, and product innovation.

This is not a typical entry-level role. You will work directly with senior product leaders, own data science features end-to-end, experiment with cutting-edge models, and drive a small cross-functional team to deliver meaningful AI/ML capabilities inside our software products.

Key Responsibilities:
AI-Native Solutioning & Product Innovation:
Understand business requirements deeply and translate them into robust data science solutions.

Conceptualize, build, and iterate AI-driven features across the product suite (ERP, POS, Analytics, OMS, CRM, etc.).

Work with product managers to convert ideas into well-defined problem statements, prototypes, and production-ready components.





Rapidly experiment with multiple ML/LLM approaches to identify the best-fit solution, not restricted by tool or technology.

Machine Learning & Statistical Modelling:
Build, tune, evaluate and deploy classical ML models including regression, tree-based models, clustering, anomaly detection, recommendation engines, and forecasting models.

Conduct robust statistical analysis to ensure model validity, robustness, and interpretability.

Participate in data cleaning, feature engineering, and data pipeline optimisation.

LLM & Agentic AI:
Design and prototype solutions using LLMs (open-source and API-based), embeddings, vector databases, prompt engineering, and RAG pipelines.

Build agentic workflow automations using open-source frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex).

Work with Multi-Agent Systems, chain-of-thought reasoning, and tool-using agents for real-world retail operations.

Exposure to MCP (Model Cont

📌 Associate Data Scientist Kolkata
🏢 Ginni Systems
📍 Kolkata