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Environmental Data Science Jobs in Arizona (NOW HIRING)

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ

$68.75 - $91.75/hr

Supports Data Science team in the approach to implement advanced analytical models and supporting ... Experience with AWS frameworks, data tools and environment. * Understanding of data architecture ...

Intel

Data Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

Comfortable working in a dynamic manufacturing environment with changing priorities and imperfect ... Computer Science, Data Science, Statistics, Electrical Engineering, Industrial Engineering ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

... environment. * Respond to ad hoc analysis requests and help build a culture of data-driven decision-making across SmartRent. Required Qualifications * Bachelor's degree in Computer Science ...

SmartRent

Data Scientist

Phoenix, AZ

... environment. * Respond to ad hoc analysis requests and help build a culture of data-driven decision-making across SmartRent. Required Qualifications * Bachelor\'s degree in Computer Science ...

SmartRent

Data Scientist

Phoenix, AZ

... environment. * Respond to ad hoc analysis requests and help build a culture of data-driven decision-making across SmartRent. Required Qualifications * Bachelor's degree in Computer Science ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

... environment. * Respond to ad hoc analysis requests and help build a culture of data-driven decision-making across SmartRent. Required Qualifications * Bachelor's degree in Computer Science ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... environment Preferred Qualifications * Advanced degree (Master's or PhD) in a relevant field ...

Master Electronics

Data Scientist II

Phoenix, AZ

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... environment Preferred Qualifications * Advanced degree (Master's or PhD) in a relevant field ...

Achieve

Data Scientist (AHL)

Tempe, AZ

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Experience working in the GCP environment. * A Passion for fintech, agile environment, ability to ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Experience working in the GCP environment. * A Passion for fintech, agile environment, ability to ...

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Showing results 41-60

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Arizona

Environmental Data Science information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do environmental data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for environmental data science in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

What is the difference between Environmental Data Science vs Environmental Data Analyst?

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

What are the key skills and qualifications needed to thrive as an environmental data scientist, and why are they important?

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.
What are the most commonly searched types of Environmental Data Science jobs in Arizona? The most popular types of Environmental Data Science jobs in Arizona are:
What are popular job titles related to Environmental Data Science jobs in Arizona? For Environmental Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Arizona look for? The top searched job categories for Environmental Data Science jobs in Arizona are:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,378 per year, or $55 per hour.

Senior Solutions Data Architect

IntraEdge

Scottsdale, AZ

$68.75 - $91.75/hr

Full-time

Re-posted 15 days ago

Job description

Under minimal Supervision the Senior Data and Solutions Architect provides vision, direction, as well as hands-on technical expertise in designing and building analytics solutions that support enterprise decision support, strategic insights and data science initiatives. In partnership with Enterprise Architecture and IT Engineering teams, this role will drive the company's
analytics technology roadmap, aligning information assets and analytics capabilities to achieve business objectives of strategic initiatives, programs and projects leveraging the powerful capabilities of a modern analytics platform.
Essential Duties and Responsibilities:
  • Drives the company's enterprise analytics architecture to support enterprise insights and decision-making architecture leveraging established architecture disciplines.
  • Leverages knowledge of the organization's information, application, and infrastructure environment as well as the current technology landscape to design a holistic and optimized analytics platform.
  • Define strategies to operationalize analytics supporting capabilities in discovery, analysis, and reporting across business segments.
  • Analyze, shape, and prioritize data and analytics technologies to business capabilities aligning to current requirements along with future needs without significant rework.
  • Perform hands-on solution design, solution architectures, architecture roadmaps, prototyping, proof-of-concepts, and development tasks as required in support of projects and products as requested.
  • Develops SQL queries to extensively to research, understand and relate distributed data repositories across enterprise.
  • Develops and documents data models; ensuring that data is defined and searchable; collaborates with various users across the organization to capture output/ process changes and revise data models.
  • Supports Data Science team in the approach to implement advanced analytical models and supporting data pipelines as well and developing the strategies and approaches for Analytics as a Service.
  • Ensures accurate documentation of data assets; identifies critical gaps in information domain through a combination of workshops, interviews and internal analysis of various documentation.
  • Partners effectively with MDM (Master Data Management), Data SMEs and other stakeholders (Sponsors, Product solutions architects etc.) to design solutions, including identifying and filling critical gaps.
  • Develops and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions.
  • Plan, design, and monitor these security, usability and stability of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.
  • Act as a liaison between Technical team, Functional team, Business Functions, and System Integrators to drive architecture solutions.
  • Document and proficiently explain complex architectures to technical and functional peers and-as needed--to other levels of the organization.
  • Ability to support: translation of business needs into solution architecture requirements, application of multiple technical solutions to business problems, and estimation of the financial impact of solution architecture alternatives.
  • Work with other product team(s) to define data dictionary, data lineage and relationship metrics.
  • Stays current on the latest technologies, trends and strategies.
Other duties as assigned.

Qualifications:
  • This position requires a minimum of eight years of progressive analytics architecture experience.
  • This position requires a minimum of five years of experience with business process design and improvement.
  • Experience in developing integrated solutions involving process, data, and technology.
  • Strong conceptual, strategic thinking, problem solving, technical, and analytical skills
  • Corporate retail experience is preferred including, but not limited to, data handling in a cloud-based environment, data governance, data quality and in database management and operations.
  • Proven understanding of end-to-end flows and processes of enterprise data.
  • Proven ability to collaborate with data SMEs and developers across the organization.
  • Hands-on / In-depth experience in following tools, technologies & Concepts such as, SQL (advanced level), Data management, Master Data Management (preferred customer data focus), Business Intelligence, SOA, Microservices and Content Management.
  • Hands on experience in data profiling, data extraction and data validation.
  • Understanding of Data Science methodologies/concepts including general statistical concepts, machine learning, feature engineering and artificial intelligence.
  • Demonstrated experience of metadata concepts including but not limited to items collection, repositories, technical and/or business content and data lineage.
  • Experience in creating logical and physical data models are required. Understanding of Kimball's methodology is required.
  • Experience working with data lake(s) and understanding of various frameworks and methodologies used around Hadoop or Hadoop like systems.
  • Experience working in mission critical ODS and Enterprise Data Warehouse environments.
  • Experience with AWS frameworks, data tools and environment.
  • Understanding of data architecture practices and governance methodologies.
  • Proficiency with Microsoft Office, including skills with Word, Excel, SharePoint, PowerPoint, and Visio is required.
  • Proven understanding of project management and the software development lifecycle is required.
  • Demonstrated business acumen with knowledge and understanding of business issues, priorities, goals, and strategy is necessary.
  • Demonstrated ability to communicate across all levels of the organization, presenting complex ideas concisely and clearly articulate ideas verbally and in writing is necessary.
  • Proven ability to work efficiently and accurately under pressure, meet deadlines and present a professional demeanor is essential.
  • Customer service skills, including the ability to manage and respond to different customer situations while maintaining a positive and friendly attitude are essential.
  • In addition, organizational and problem-solving skills, a can-do attitude, and the ability to adjust to changing requirements are essential.
Educational Requirements:
This position requires a Bachelor's Degree in information technology, Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related field, or equivalent work experience.
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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