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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist-Build Analytics - **Company:** Forged Fiber 37 - **Location:** Chandler, AZ, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Integration, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Delivery Pipeline, Large Language Models, Data Strategy, Pandas, Scikit Learn, Information Technology, Data Analytics, OSS/BSS, Virtual Agents, Looker Analytics, Data Pipelines - **Published:** July 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ecf87c1c1c4b4e08 ## About the Role * 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.) * 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, * 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 ## Description 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. 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 ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)