Overview

External Data Science ML Specialist

Responsibilities

• External Data Science ML Specialist
• 1 Role Objective
• Provide handson Data Science and Machine Learning expertise to develop a Retailer Order Recommendation Engine working under the direction of the internal Project Manager and Lead Data Scientist
• Primary scope
• Feature Engineering ML Model Recommendation Engine
• Develop features covering order behaviour SKUproduct affinity seasonality retailer attributes and profitability
• Build reusable MLready feature pipelines in Databricks
• Develop and evaluate models for SKU recommendationranking and order quantity prediction
• Develop SKUSKUbundle ranking and quantity recommendation logic
• Support business validation and refinement of recommendations
• Conduct knowledge transfer to the internal Data Science team

Qualifications

• Strong practical experience in Data Science Machine Learning
• Strong Python and SQL skills
• Strong feature engineering and model evaluation skills
• 5 Recommendation Analytical Skills
• ProductSKU recommendation
• Purchasecustomer affinity
• Basket or association analysis
• Personalisation
• Demandorder prediction
• Retail or transactional analytics
• 6 Preferred Experience
• 3 years of experience
• B2B ordering or distributorretailer analytics
• Product recommendation or demandorder prediction
• Largescale transactional datasets
• Databricksbased ML projects
• 7 Engagement Structure
• Duration 3months with optional to extend if required
• External Specialist Focus Feature Engineering ML Model Development Recommendation Engine
• Mandatory Skills : Data science, ML & geospatial