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
1. 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.
2. 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 p