Description

You will develop and operationalize machine learning models to solve complex supply chain challenges.

Responsibilities

• Assess business opportunity areas and underlying data to recommend advanced analytics solutions and value propositions.
• Apply statistical analysis and data mining to identify trends, patterns, and anomalies within complex datasets.
• Design, implement, and optimize machine learning models for demand forecasting, optimization, and logistics planning.
• Collaborate with cross-functional teams, including business users and IT, to translate requirements into data-driven solutions.
• Present findings, models, and statistical outputs to leadership and work with architects to deploy models into production.

Required Skills

• 10+ years of experience in data science or related fields.
• Proven experience developing machine learning models for end-user consumption.
• Expertise in supply chain management challenges including forecasting and logistics.
• Proficiency with Azure AI Foundry.
• Proficiency with Azure ML.
• Proficiency with Azure SQL.
• Proficiency with Azure Synapse Analytics.
• Ability to communicate complex statistical results to stakeholders and leadership.
• Any Graduate degree.

Key Skills

Education

Any Graduate