Description

In this role, you will transform raw data into actionable insights that drive inventory optimization and risk management. Your day-to-day responsibilities will include managing Data Science projects, collaborating with stakeholders, and proposing innovative solutions to enhance operations.

Requirements

• •4+ years of experience in Data Science
• •Masters or Doctorate in relevant field
• •Knowledge of R, Python, SQL
• •Ability to prepare high-quality datasets
• •Understanding of Stats, Probability, and ML Algorithms
• •Applied understanding of modern computing
• •Coherent presentation skills
• •Skilled in stakeholder management
• •Pragmatic critical thinking
• •Outcome-driven motivation
• •Ability to define and formulate questions
• •Grit and perseverance

Tasks

• •Manage and deliver Data Science projects for inventory optimization
• •Scope, execute, and ensure quality of projects
• •Present findings and insights to stakeholders
• •Propose innovative solutions to generate value
• •Build relationships with internal and external stakeholders
• •Absorb feedback to enhance project success
• •Support impact tracking and project planning
• •Prepare materials for planning cycles and internal training
• •Onboard new colleagues and facilitate outreach
• •Develop clean, maintainable data pipelines
• •Analyze operational datasets to address key questions
• •Collaborate with Supply Chain, Operations, and Data Science teams

Tools & Technologies