Engineering Services Group, Engineering Services Group > Engineering Operations
General Summary
We are looking for a highly skilled Data Scientist to lead our analytics function within Engineering Operations. This role requires a blend of deep technical expertise, strategic thinking, and people leadership. The individual will own the data ecosystem end‑to‑end—from assessing and organizing all organizational datasets to generating proactive, predictive insights that drive business decisions.
A key responsibility is to embed a culture where dashboards are not the output—insights are. The expectation is that data must tell a story, influence action, and improve operational efficiency across functions.
This position also includes managing and mentoring a team of analysts to elevate the organization’s data maturity.
Minimum Qualifications
Bachelor's degree in Business, Engineering, Science, or related field and 2+ years of Engineering Operations or related work experience.
OR
Associate's degree and 4+ years of Engineering Operations or related work experience.
OR
High School Diploma or equivalent and 6+ years of Engineering Operations or related work experience.
Key Responsibilities
Data Ecosystem Leadership
Review all current datasets across Engineering Operations and adjacent functions.
Define and implement an optimal data management strategy including architecture, governance, pipelines, retention, and documentation.
Work closely with IT and Data Engineering to streamline data ingestion, quality, and accessibility.
Champion data standardization and hygiene across teams.
Advanced Data Analysis & Predictive Intelligence
Perform deep-dive analysis on high‑volume, complex datasets including data center utilization, engineering job efficiency, infrastructure usage, and operational metrics.
Build predictive models and forecasting frameworks to pre-empt issues and guide proactive planning.
Identify trends, anomal