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Geospatial Data Scientist Jobs in Phoenix, AZ (NOW HIRING)

Data Scientist-Build Analytics

Chandler, AZ ยท Remote

$110K - $160K/yr

Data Scientist-Build Analytics About Forged Fiber At Forged Fiber, our mission is bold but simple ... Geospatial (GIS) data * Exposure to OSS/BSS systems or network deployment data Leadership Profile

Data Scientist-Build Analytics

Chandler, AZ ยท Remote

$110K - $160K/yr

Data Scientist-Build Analytics About Forged Fiber At Forged Fiber, our mission is bold but simple ... Geospatial (GIS) data * Exposure to OSS/BSS systems or network deployment data Leadership Profile

Data Scientist-Build Analytics

Chandler, AZ ยท Remote

$110K - $160K/yr

Data Scientist-Build Analytics About Forged Fiber At Forged Fiber, our mission is bold but simple ... Geospatial (GIS) data * Exposure to OSS/BSS systems or network deployment data Leadership Profile

Data Analyst

Tempe, AZ ยท On-site

Bachelor's degree in mathematics, computer science, or statistics * Three (3) or more years of ... Experience with multiple database and geospatial applications, including PostgreSQL. * Demonstrated ...

... updating tabular data; working knowledge of geospatial data stored in ArcGIS Enterprise ... Education Bachelor's degree in Computer Science, Geographic Information Systems, Software ...

... scientists, engineers, modelers, geographic information system (GIS) specialists, and field ... You have experience with ArcGIS, or similar software for managing geospatial data. * You are ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate ...

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Showing results 1-20

Geospatial Data Scientist information

See Phoenix, AZ salary details

$36.4K

$119.1K

$190.6K

How much do geospatial data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for geospatial data scientist in Phoenix, AZ is $119,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $131,900.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are the most commonly searched types of Geospatial Data Scientist jobs in Phoenix, AZ?

The most popular types of Geospatial Data Scientist jobs in Phoenix, AZ are:

What are popular job titles related to Geospatial Data Scientist jobs in Phoenix, AZ?

For Geospatial Data Scientist jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Phoenix, AZ look for?

The top searched job categories for Geospatial Data Scientist jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Geospatial Data Scientist jobs?

Cities near Phoenix, AZ with the most Geospatial Data Scientist job openings:

Infographic showing various Geospatial Data Scientist job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,080 per year, or $57.2 per hour.

Data Scientist-Build Analytics

Forged Fiber 37

Chandler, AZ โ€ข Remote

$110K - $160K/yr

Full-time

Medical, Life

Re-posted 7 hours ago


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.

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.)
    • 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

 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. We strive to treat people as they want to be treated, and to operate with consistency, integrity, customer obsession, and courage. We’re looking for top tier talent to join Forged Fiber that can help us bring this mindset to our everyday work and deliver meaningful results.

Compensation

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.

What to Expect Next

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements.

Forged Fiber 37 Services, LLC participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the United States. Employers can only use E‑Verify once you have accepted a job offer and completed the Form I‑9.

Equal Employment Opportunities

It is the policy of Forged Fiber to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, martial status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.   We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. In addition, Forged Fiber will provide reasonable accommodations for qualified individuals with disabilities, and is a fair change employer and does not initiate a background check until after an offer is made.

© 2026 Forged Fiber 37 Services, LLC