Description

You will apply statistical modeling and machine learning to drive insights within an Azure-focused environment.

Responsibilities

• Develop and maintain machine learning models using Python and associated packages.
• Manage the full model lifecycle from development to deployment.
• Identify cause and effect relationships within complex datasets.
• Communicate technical findings to stakeholders to drive understanding and decision-making.
• Write and optimize SQL queries for large database extraction and analysis.

Required Skills

• 3+ years of applied data science experience.
• Proficiency in Python, including Pandas and Scikit-learn.
• Strong command of SQL syntax and large database management.
• Deep understanding of statistics and core data science concepts.
• Experience with API protocols.
• Working knowledge of Kubernetes and Azure-focused environments.
• Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, or Computer Science.

Preferred Skills

• Experience with time-series data and manufacturing industry workflows.
• Knowledge of Azure DevOps, AzureML, or AVEVA/OSISoft PI data historians.
• Experience in Agile/SCRUM environments or providing 24/7 operational support.

Key Skills

Education

ANY GRADUATE