Job Overview

We are looking for a data scientist with proven experience in building models and machine learning to deliver actionable results that add value to the organization. The preferred candidate will have a degree and have Materials/Supply Chain data experience. The Sr. Specialist, Data Science and Governance, will focus on developing tools to improve data and processes for Hubbell. They will engage with business partners to facilitate driving optimal tools and clean SAP data.

A Day In The Life

• Use various advanced data science modeling tools to build resources to improve Operations and Supply Chain master data.
• Develop strategic tools and execute projects to drive value for the organization.
• Develop and maintain strong global relationships in a matrixed environment across segments and functional levels.
• Lead Master Data initiatives across Hubbell's SAP sites to maintain data integrity.
• Coordinate with Reporting and Analytics Team to ensure models interface with PBI correctly and have all the necessary elements that are needed by the end users.
• Develop training resources to support the tools being developed.
• Strong appreciation for data integrity and clear process disciplines.
• Proven ability to manage tight deadlines, priorities workload, and achieve results.

What will help you thrive in this role?

Skills and Experience

• 5+ years building data science models and machine learning.
• 1+ years of working with Materials/Supply chain processes and/or master data, preferably in a manufacturing environment
• Familiarity with SAP data sources

Technical Competencies

• Proficiency with R/Python, SQL languages
• Understanding of data modeling and optimization techniques and best practices
• MS Office, SAP Hanna, and Power BI (DAX) helpful

Leadership Traits

• Ability to independently identify, qualify, and socialize opportunities that take advantage of emerging technologies and their application at Hubbell
• Use communication skills to influence and collaborate across the organization to achieve goals and add value to the organization.

Education

• Degree in Information Systems, Computer Science, Business, or equivalent