Data Scientist-Build Analytics

Forged Fiber 37
Chandler, AZ, United States
2 months ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$110,000.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+7 more
Scikit Learn Information Technology Data Analytics OSS/BSS Virtual Agents Looker Analytics Data Pipelines

Job 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

Requirements

  • 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

Benefits & conditions

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Location Based Pay Ranges:

$110,000- $160,000

Forged Fiber offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · World Congress 2021

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

See all

Related articles

See all