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Environmental Data Scientist Jobs in Arizona (NOW HIRING)

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Develop end-to-end ML pipelines and support deployment of models into production environments.

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Develop end-to-end ML pipelines and support deployment of models into production environments.

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

... production environments. * Evaluate data quality, model performance, and AI system limitations ... Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Evaluate and monitor model performance, accuracy, and scalability in production environments.

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Evaluate and monitor model performance, accuracy, and scalability in production environments.

Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define ...

Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define ...

Data Scientist

Phoenix, AZ · On-site

$115K/yr

Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Experience deploying or supporting models in production environments

Job Summary : 1872 Consulting is seeking a Data Scientist to support card-related insights and ... changing environment • Effective time management and organizational skills • Flexibility to ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by ...

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections ... The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies ...

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Showing results 1-20

Environmental Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do environmental data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for environmental data scientist 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.

What is an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

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

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

What are the most commonly searched types of Environmental Data Scientist jobs in Arizona?

The most popular types of Environmental Data Scientist jobs in Arizona are:

What cities in Arizona are hiring for Environmental Data Scientist jobs?

Cities in Arizona with the most Environmental Data Scientist job openings:

Infographic showing various Environmental Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,561 frontline employees who took The Breakroom Quiz

235th of 315 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Office Locations: Bloomington, Atlanta, Dallas, Phoenix

HYBRID:  Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape. 

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Responsibilities

State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions.

Applicants for this posting will be considered for Data Scientist openings in:

  • Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm’s insurance pricing and underwriting decisions

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced analytic models
  • Provide input into and/or build datasets to support model development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other Data Scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Work on complex problems of diverse scopes
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that drives the data science & research agenda
  • Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives

Qualifications

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $102,000 - $163,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary


At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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