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Environmental Data Science Jobs in Arizona (NOW HIRING)

... environment. Required Qualifications * Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field, or an ...

The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... science or advanced analytics, preferably in a high-tech manufacturing environment. โ€ข Strong ...

The incumbent builds on foundational AI, data science skills and applies deep modeling, diagnostic ... RSG) is a leader in the environmental services industry. We provide customers with the most ...

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Experience deploying AI/ML solutions into production environments. * Experience developing APIs and ...

Senior AI / Data Science Engineer

Phoenix, AZ ยท On-site

$105K - $143K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Experience deploying AI/ML solutions into production environments. * Experience developing APIs and ...

Experience * 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive ...

We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. The People Data Scientist applies advanced statistical, analytical, and data science ...

We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. The People Data Scientist applies advanced statistical, analytical, and data science ...

We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. The People Data Scientist applies advanced statistical, analytical, and data science ...

Experience * 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive ...

Data Scientist

Scottsdale, AZ ยท On-site

$80K - $120K/yr

Collaborate with ML Engineering to productionize models on Azure Technical Environment (Azure AI/ML ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent ...

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 ...

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 ...

Showing results 21-40

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 9, 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:
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.

Data Scientist, Specialist

Vangard, Inc.

Scottsdale, AZ โ€ข On-site

Full-time

Posted 16 days ago


Job description

As a Data Scientist, you will join a highly collaborative team of data scientist, AI engineer, and analytics professionals focused on transforming how HR and IT Corporate Systems use data, analytics, and artificial intelligence to drive business outcomes. You will develop innovative AI and machine learning solutions that enable smarter decision making, improve workforce experiences, and unlock insights at scale.

In this role, you will work at the intersection of advanced analytics, business strategy, and emerging AI technologies. You will partner closely with HR, Corporate Systems, and technology stakeholders to identify opportunities, solve complex business challenges, and deliver impactful solutions that create measurable value. From predictive modeling and generative AI applications to workforce analytics and intelligent decision support tools, you will help shape the future of AI-driven capabilities across the enterprise.

You will have the opportunity to:

  • Develop and deploy machine learning, predictive analytics, and AI solutions to address business challenges.
  • Build scalable analytics products and AI-enabled tools that improve decision making and operational efficiency.
  • Partner with business stakeholders to identify opportunities, prioritize initiatives, and translate business needs into analytical solutions.
  • Leverage modern cloud, data science, and AI technologies to deliver innovative products and services.
  • Communicate analytical insights and recommendations to diverse audiences, including senior leaders and non-technical stakeholders.
  • Collaborate with data scientists, engineers, analysts, and product partners to bring solutions from concept to production.
  • Contribute to the adoption of emerging AI capabilities, including generative AI, agentic workflows, and advanced analytics applications.
  • Help establish best practices for responsible AI, model governance, and scalable analytics delivery.

You will be part of a dynamic Analytics and AI team that drives innovation across HR and Corporate Services. Our team combines advanced analytics, data science, machine learning, and AI product development to solve strategic business challenges and improve employee and business outcomes.

We are focused on delivering practical, impactful solutions that move beyond analysis to create enterprise capabilities. Whether developing AI-powered assistants, workforce analytics products, predictive models, or decision intelligence solutions, our team plays a critical role in accelerating Vanguard's adoption of data-driven and AI-enabled decision making.

Strong communication and collaboration skills are essential as you will work across business, technology, analytics, and product teams. Success in this role requires intellectual curiosity, strong problem-solving abilities, and the ability to balance multiple priorities in a fast-paced environment.

Required Qualifications

  • Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field, or an equivalent combination of training and experience.
  • 2+ years of experience applying data science, machine learning, or advanced analytics in a business environment.
  • Experience developing and deploying predictive models, machine learning solutions, or AI-driven applications.
  • Strong proficiency in Python and modern analytical tools and frameworks.
  • Experience working with large and complex datasets to generate actionable insights.
  • Ability to translate business problems into analytical approaches and communicate results effectively to technical and non-technical audiences.
  • Demonstrated problem-solving skills and a passion for leveraging data and AI to drive business value.

Preferred Qualifications

  • Graduate degree in Data Science, Statistics, Machine Learning, Computer Science, Analytics, or a related field.
  • Experience in applying Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, or other emerging AI technologies.
  • Experience with cloud-based analytics and AI platforms.
  • Experience developing analytics products, decision support tools, or enterprise AI solutions.
  • Knowledge of workforce, HR, talent, organizational, or people analytics is a plus.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.