• This role is instrumental in driving data-driven decision-making across the organization, with a strong focus on leveraging Microsoft Azure as the core data and analytics platform
• Collaborate with business stakeholders to identify opportunities for data science solutions that improve operational efficiency, customer experience, and sustainability
• Design, develop, and deploy machine learning models and advanced analytics solutions using Azure Machine Learning, Azure Databricks, and related services
• Build and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure-native tools
• Perform exploratory data analysis, feature engineering, and model validation using Python or similar languages
• Work closely with data engineers and architects to ensure data quality, governance, and security across the Azure ecosystem
• Communicate findings and insights through compelling visualizations and dashboards using Power BI
• Contribute to the development of best practices, reusable assets, and knowledge sharing within the data science community of practice

Azure Data Factory

The ideal candidate will have a passion for solving complex business problems using data science techniques and cloud-native tools (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)

• Eighteen months of work and/or internship experience required for level 1

Employees must be able to perform the essential functions of the position, with or without accommodation

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field