Data Scientist-Build Analytics

Data Scientist-Build Analytics About Forged Fiber

At Forged Fiber, our mission is bold but simple: deliver fast, reliable, future-proof connectivity that builds the foundation for everything online. As we execute, we believe the right way to do something is the only way. This foundation guides how the company builds, operates, and maintains a state-of-the-art open-access fiber network platform that empowers millions.

Forged Fiber is about more than building a network. It is about people. Every role matters. Every contribution counts. Together, employees create impact through teamwork, trust, and a shared commitment to excellence.

The Data Scientist – Build Analytics will support the end-to-end fiber network deployment lifecycle by leveraging data and analytics to improve build execution, forecasting, cost efficiency, and operational readiness.

This role partners across Engineering, Construction, Field Operations, Supply Chain, and IT to deliver actionable insights that drive decision-making, reduce risk, and accelerate market readiness.

• Develop and maintain data models to track fiber build progress, productivity, and performance
• Using statistical methods to analyze build lifecycle data (planning, permitting, construction, testing, readiness) to identify trends, patterns, risks and opportunities.
• Establish KPIs and metrics aligned to build execution and market launch success

• Build predictive models to forecast:
  • Build timelines and completion rates
  • Resource needs (labor, materials, contractors)
  • Risk areas (permitting delays, vendor performance, supply constraints)
• Support scenario modeling for market launches and expansion planning

• Identify inefficiencies across construction, permitting, and deployment workflows
• Provide data-driven recommendations to improve:
  • Cycle times
  • Cost per passing / cost per market
  • Resource utilization
• Partner with build leadership to drive continuous improvement initiatives

• Translate complex data into clear, actionable insights for leadership
• Develop dashboards and visualizations showing:
  • Build progress vs. plan
  • Risk areas and mitigation tracking
  • Market readiness indicators
• Support creation of executive-level summaries and ELT reporting

• Integrate data across systems and domains:
  • Construction & vendor systems
  • Supply chain / materials tracking
  • Field operations & dispatch
  • OSS/BSS and network readiness
• Ensure data consistency, quality, and accessibility across teams

• Design and implement automated data pipelines and reporting solutions
• Enable self-service analytics for build and operations teams
• Partner with IT/Data Engineering to scale data infrastructure

• 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, etc.)
  • SQL and large dataset analysis
  • Data visualization tools (Power BI, Tableau, etc.)
• Experience building predictive models and translating data into business insights
• Strong problem-solving and analytical thinking skills
• Ability to communicate complex findings to technical and non-technical audiences

• Looker BI reporting
• LLM training
• AI/ML experience
• Agentic AI development

• Experience in telecom, fiber deployment, construction, or infrastructure programs
• Familiarity with build lifecycle (planning → construction → readiness → launch)
• Experience working with:
  • Vendor performance data
  • Supply chain or logistics datasets
  • Geospatial (GIS) data
• Exposure to OSS/BSS systems or network deployment data

• Data-driven decision maker with strong business acumen
• Highly collaborative across cross-functional teams
• Comfortable working in fast-paced, scaling environments
• Strong communicator capable of influencing at all levels
• Focused on execution, accountability, and measurable outcome

Forged…