ABOUT THE ROLE
We are looking for a Data Scientist with 3–5 years of hands-on experience and prior experience working for or delivering projects to a multinational grocery, supermarket, hypermarket, or general merchandise retailer.
The ideal candidate will have robust foundations in classical Data Science, statistics, and Machine Learning, with the ability to translate complex retail business problems into scalable, data-driven solutions.
This is a hands-on Data Science role. We are looking for someone with strong ML fundamentals rather than a profile focused primarily on Gen AI/LLMs.
KEY RESPONSIBILITIES
Develop and deploy machine learning models for real-world retail use cases such as demand forecasting, sales prediction, customer segmentation, pricing and promotion analytics, recommendation, inventory optimization, churn/retention, and basket analysis. Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation. Work with large-scale retail datasets including sales, customer, product, store, pricing, promotion,



and inventory data. Apply statistical and machine learning techniques to solve complex and ambiguous business problems. Build production-quality Python-based Data Science solutions and collaborate with Data Engineers and ML Engineers on deployment and ML pipelines. Design experiments and evaluate model performance using appropriate statistical and business metrics. Work closely with business stakeholders to understand retail problems and translate them into analytical and ML solutions. Communicate analytical findings, model performance, and business recommendations clearly to technical and non-technical stakeholders. Identify opportunities to improve existing models, analytical processes, and business decision-making through advanced analytics. REQUIRED SKILLS & EXPERIENCE
Retail Domain – Mandatory
3–5 years of professional experience in Data Science / Machine Learning. Prior experience working for or d

📌 Data scientist (Bengaluru)
🏢 Valiance Solutions
📍 Bengaluru