Description

Architect and deploy end-to-end data pipelines, advanced analytics, and predictive models to meet business objectives.

Responsibilities

• Design and implement high-performing data science pipelines, including data ingestion, transformation, and rules engines.
• Formulate complex problems, extract data from multiple systems, and deliver actionable insights through visual representations.
• Own and manage advanced analytical projects from initial design through to production.
• Implement processes to continuously detect and remedy model and data drift to ensure high quality.
• Collaborate with data engineers, developers, UX designers, and product managers to define requirements and demonstrate model value.

Required Skills

• 5+ years of experience in data science or solution architecture.
• Expertise in Python and SQL.
• Proficiency with Sklearn, Matplotlib, and Seaborn.
• Experience with Databricks and AWS.
• Hands-on work with Snaplogic and Mulesoft.
• Bachelor’s Degree.
• Ability to present technical findings and model performance to senior executives and peers.

Preferred Skills

• Experience with Snaplogic and Mulesoft for integration.

Key Skills

Education

Bachelor’s Degree