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Forged Fiber
Data Scientist-Build Analytics
Career Insights for Data Analyst
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Based on Arizona data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$82,502 / year median in Arizona
+10% projected growth
Job Description
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 Role 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.
Please note:
We are currently unable to offer visa sponsorship or visa transfers for this position. Applicants must be authorized to work in the United States without the need for employer-sponsored immigration support. The Main Responsibilities Build Data Strategy & Analytics- 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 Forecasting & Predictive Modeling
- Build predictive models to forecast: o Build timelines and completion rates o Resource needs (labor, materials, contractors) o Risk areas (permitting delays, vendor performance, supply constraints)
- Support scenario modeling for market launches and expansion planning Operational Performance & Optimization
- Identify inefficiencies across construction, permitting, and deployment workflows
- Provide data-driven recommendations to improve: o Cycle times o Cost per passing / cost per market o Resource utilization
- Partner with build leadership to drive continuous improvement initiatives Executive Reporting & Insights
- Translate complex data into clear, actionable insights for leadership
- Develop dashboards and visualizations showing: o Build progress vs. plan o Risk areas and mitigation tracking o Market readiness indicators
- Support creation of executive-level summaries and ELT reporting Cross-Functional Data Integration
- Integrate data across systems and domains: o Construction & vendor systems o Supply chain / materials tracking o Field operations & dispatch o OSS/BSS and network readiness
- Ensure data consistency, quality, and accessibility across teams Automation & Data Products
- 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 What We Look For in a Candidate in a Candidate Required Skills 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.
- Skill Set to include (one or multiple) o Looker BI reporting o LLM training o AI/ML experience o Agentic AI development 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 Preferred Qualifications 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 Leadership Profile 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 What We Look For in a Candidate Forged Fiber's culture is built on honesty, respect, trust, transparency, and a growth mindset.