Data Scientist, Build Analytics for Fiber Network

Page Mechanical Group, Inc.; Chandler (AZ); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Lifestyle benefits

Job summary

Forged Fiber is seeking a Data Scientist to build analytics across the fiber deployment lifecycle. You will collaborate with Engineering, Construction, Field Ops, Supply Chain, and IT to deliver insights that drive decisions, reduce risk, and accelerate market readiness.

Responsibilities include developing data models, predictive forecasting, and data products. The role emphasizes data-driven optimization and executive reporting for strategic initiatives.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, Computer Science, or related field.
• 3–7+ years of experience in data science, analytics, or related roles.
• Strong experience with Python (pandas, scikit‑learn) and SQL.
• Experience with data visualization tools (Power BI, Tableau).
• Looker BI reporting, LLM training, AI/ML experience, and Agentic AI development.

Responsibilities

• Build data strategy and analytics to track fiber build progress and performance.
• Develop predictive models for timelines, resources, and risks.
• Identify inefficiencies and provide data-driven optimization recommendations.
• Create dashboards and executive-ready insights for leadership.
• Integrate data across construction, vendor, supply chain, and field systems.

Skills

Python

SQL

Data visualization

Looker BI reporting

LLM training

AI/ML experience

Agentic AI development

Education

Bachelor's or Master’s degree in Data Science/Statistics/Engineering/CS

Tools

Power BI

Tableau

Job description

Forged Fiber is seeking a Data Scientist to build analytics across the fiber deployment lifecycle. You will collaborate with Engineering, Construction, Field Ops, Supply Chain, and IT to deliver insights that drive decisions, reduce risk, and accelerate market readiness.

Responsibilities include developing data models, predictive forecasting, and data products. The role emphasizes data-driven optimization and executive reporting for strategic initiatives.