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Remote Geospatial Data Scientist Jobs in Arizona

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone.

Forged Fiber 37

Data Scientist-Build Analytics

Chandler, AZ · On-site +1

$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

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... The Data Scientist will join a team of other data scientists and analysts in helping develop the ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... The Data Scientist will join a team of other data scientists and analysts in helping develop the ...

Agile Defense

$85K - $95K/yr

Remote Clearance Level: Secret, Must Have Clearance to Start Required Certification(s): One of the following certifications prior to start date: CEH(P), GMON, GRID, Cloud+, FITSP-O, GCED, GDSA, GSEC ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

National imagery exploitation, Commercial or Remote Sensing exploitation, Joint Surveillance Target ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

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All JobsGeospatial Data Scientist JobsRemote Geospatial Data Scientist JobsRemote Geospatial Data Scientist Jobs in Arizona

Remote Geospatial Data Scientist information

What is the difference between Remote Geospatial Data Scientist vs Remote GIS Analyst?

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

How do Remote Geospatial Data Scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Geospatial Data Scientist, and why are they important?

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

What is a Remote Geospatial Data Scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.
What are the most commonly searched types of Geospatial Data Scientist jobs in Arizona? The most popular types of Geospatial Data Scientist jobs in Arizona are:
What are popular job titles related to Remote Geospatial Data Scientist jobs in Arizona? For Remote Geospatial Data Scientist jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Geospatial Data Scientist jobs in Arizona look for? The top searched job categories for Remote Geospatial Data Scientist jobs in Arizona are:
What cities in Arizona are hiring for Remote Geospatial Data Scientist jobs? Cities in Arizona with the most Remote Geospatial Data Scientist job openings:
Remote Geospatial Data Scientist jobs near you
Infographic showing various Remote Geospatial Data Scientist job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist

Data Scientist

Mondo

Phoenix, AZ • Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Apply now: Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position.

Job Title: Data Scientist
Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.)
Start Date: ASAP
Duration: Contract, 12 Months
Compensation Range: $65/hr to $75/hr
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship

Job Description:
The client is seeking a Data Scientist with deep expertise in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI solutions while embedding Responsible AI practices across the full development lifecycle. This role requires hands on MLOps maturity, not just model building, the candidate will own how models move from experimentation into production and stay reliable once they get there.

Job Summary:

  • Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise environments
  • Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure
  • Develop and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
  • Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
  • Implement model monitoring for drift, performance degradation, and data quality issues in production
  • Apply statistical modeling techniques to solve complex business problems
  • Collaborate with stakeholders across the organization to translate requirements into scalable AI solutions
  • Embed Responsible AI practices across model development, deployment, and governance workflows
  • Contribute across the full development lifecycle, from experimentation through production release

Requirements:

Must Haves:

  • Location: candidate must be based in Pacific, Mountain, or Central time zone. This is a hard requirement, not a preference.
  • Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
  • Must currently or most recently hold a Data Scientist title (Data Scientist, Senior Data Scientist, Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.)
  • Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
  • Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
  • Master's degree in a STEM field
  • 4 years of proficiency in SQL
  • 4 years of proficiency in Python
  • Hands on experience with AWS or Azure cloud platforms
  • Proficiency with Git for version control
  • Strong communication skills with demonstrated ability to work cross functionally with stakeholders

Nice to Haves:

  • Experience with Snowflake for data warehousing and analytics
  • Hands on experience with AWS specifically, in addition to general cloud proficiency
  • Startup or fast paced environment mindset with comfort navigating ambiguity
  • Active personal use of AI tools and familiarity with the evolving AI landscape