Description

You will design, develop, and deploy predictive and prescriptive models using machine learning algorithms.

This role is on-site.

Responsibilities

• Drive unified data analytics by leveraging Power BI, Azure Synapse, and OneLake for insights.
• Collaborate with technology, product, and business teams to translate data needs into deployable analytical solutions.
• Analyze large datasets to uncover trends and patterns that inform business decisions.
• Provide technical direction and establish best practices for modeling, data engineering, and analytics.

Required Skills

• 8+ years of programming experience, including Python, Spark, and SQL.
• Hands-on expertise in the Microsoft Azure ecosystem, specifically Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform.
• 5+ years of experience manipulating large datasets and developing inference/regression models for implementation.
• Significant experience with supervised and/or unsupervised Machine Learning algorithms.
• Proven experience with predictive and prescriptive analytics.
• Demonstrated expertise in machine learning, deep learning, and statistical modeling.
• Experience implementing CI/CD pipelines for model deployment.
• Strong understanding of data governance, security, and scalability.

Preferred Skills

• Bachelor’s or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.

Key Skills

Education

Bachelor's or Master's degrees