Description

You will apply statistical methods and data science concepts to identify cause and effect within complex datasets.

Responsibilities

• Develop predictive models using Python and core libraries including Pandas and Scikit-learn.
• Manage the full model lifecycle from development through to deployment.
• Write and optimize SQL syntax for efficient data extraction and manipulation.
• Implement and interact with API protocols to integrate data pipelines.
• Present technical findings to stakeholders to drive understanding and decision-making.

Required Skills

• 3+ years of applied data science experience.
• Bachelor's Degree in Engineering, Data Science, Statistics, Mathematics, or Computer Science.
• Proficiency in Python and associated packages like Pandas and Scikit-learn.
• Strong command of SQL syntax.
• Solid understanding of statistics and data science fundamentals.
• Experience with API protocols.
• Ability to manage model lifecycles.

Preferred Skills

• Experience with Time-series data or the manufacturing industry.
• Knowledge of Azure DevOps, AzureML, or AVEVA/OSIsoft PI data historian.
• Agile/SCRUM experience and experience providing 24/7/365 operational support.

Key Skills

Education

Bachelor's Degree