Vice President - Data Science
Tempe, AZ · On-site
The Vice President, Data Science provides senior leadership for AI-driven clinical insights and ... environment. • Oversee engineering and production deployment of AI pipelines within Caris ...
Vice President - Data Science
Tempe, AZ · On-site
The Vice President, Data Science provides senior leadership for AI-driven clinical insights and ... environment. • Oversee engineering and production deployment of AI pipelines within Caris ...
Wells Fargo is seeking a Lead Data Science Consultant, focused on the delivery of advanced ... environment and across all organizational levels, where flexibility, collaboration, and ...
New
Wells Fargo is seeking a Lead Data Science Consultant, focused on the delivery of advanced ... environment and across all organizational levels, where flexibility, collaboration, and ...
New
Vice President - Data Science
Tempe, AZ · On-site
Lead implementation of AI products within a regulated CAP/CLIA clinical environment. * Oversee ... PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field ...
Vice President - Data Science
Tempe, AZ · On-site
Lead implementation of AI products within a regulated CAP/CLIA clinical environment. * Oversee ... PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field ...
Vice President - Data Science
Tempe, AZ · On-site
Lead implementation of AI products within a regulated CAP/CLIA clinical environment. * Oversee ... PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field ...
Vice President - Data Science
Tempe, AZ · On-site
Lead implementation of AI products within a regulated CAP/CLIA clinical environment. * Oversee ... PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field ...
Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Proven experience deploying AI/ML solutions in production environments. * Strong knowledge of cloud ...
Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Proven experience deploying AI/ML solutions in production environments. * Strong knowledge of cloud ...
Data Scientist
Tempe, AZ · Hybrid
... 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 ...
Data Scientist
Tempe, AZ · Hybrid
... 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 ...
Proven experience deploying AI/ML solutions in production environments. * Strong knowledge of cloud ... Oversee data science project lifecycles, from ideation to production, ensuring alignment with ...
Proven experience deploying AI/ML solutions in production environments. * Strong knowledge of cloud ... Oversee data science project lifecycles, from ideation to production, ensuring alignment with ...
Data Scientist
Chandler, AZ · On-site
Familiarity with cloud-based AI/ML environments. * Experience working in enterprise-scale AI initiatives. Experience Required: * 5+ years of experience in Data Science, Machine Learning, or AI ...
Data Scientist
Chandler, AZ · On-site
Familiarity with cloud-based AI/ML environments. * Experience working in enterprise-scale AI initiatives. Experience Required: * 5+ years of experience in Data Science, Machine Learning, or AI ...
Data Scientist
Chandler, AZ · On-site
Familiarity with cloud-based AI/ML environments. Experience working in enterprise-scale AI initiatives. Experience Required: 5+ years of experience in Data Science, Machine Learning, or AI-related ...
Data Scientist
Chandler, AZ · On-site
Familiarity with cloud-based AI/ML environments. Experience working in enterprise-scale AI initiatives. Experience Required: 5+ years of experience in Data Science, Machine Learning, or AI-related ...
Data Scientist II
Tempe, AZ · Hybrid
$131K - $172K/yr
Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Experience deploying or supporting models in production environments
Data Scientist II
Tempe, AZ · Hybrid
$131K - $172K/yr
Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Experience deploying or supporting models in production environments
Data Scientist
Phoenix, AZ · On-site
$136K - $164K/yr
Participate in the end-to-end data science project lifecycle - data mining and exploration, model ... Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or ...
Quick apply
Data Scientist
Phoenix, AZ · On-site
$136K - $164K/yr
Participate in the end-to-end data science project lifecycle - data mining and exploration, model ... Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or ...
Data Scientist
Gilbert, AZ · On-site
Experience developing, deploying, and maintaining machine learning models in production environments. * Strong understanding of cloud computing platforms and modern data science tools and ...
Quick apply
Data Scientist
Gilbert, AZ · On-site
Experience developing, deploying, and maintaining machine learning models in production environments. * Strong understanding of cloud computing platforms and modern data science tools and ...
Build applications optimized for low latency on high-volume data pipelinesand streaming environments. * Advise & Innovate: Act as a thought partner to data scientists and engineering leaders ...
Build applications optimized for low latency on high-volume data pipelinesand streaming environments. * Advise & Innovate: Act as a thought partner to data scientists and engineering leaders ...
Build applications optimized for low latency on high-volume data pipelinesand streaming environments. * Advise & Innovate: Act as a thought partner to data scientists and engineering leaders ...
Build applications optimized for low latency on high-volume data pipelinesand streaming environments. * Advise & Innovate: Act as a thought partner to data scientists and engineering leaders ...
Data Scientist II
Tempe, AZ · On-site
$131K - $172K/yr
Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Experience deploying or supporting models in production environments This is an authentic Oscar ...
Data Scientist II
Tempe, AZ · On-site
$131K - $172K/yr
Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Experience deploying or supporting models in production environments This is an authentic Oscar ...
Data Scientist II
Tempe, AZ · Hybrid
$131K - $172K/yr
Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Experience deploying or supporting models in production environments This is an authentic Oscar ...
Quick apply
Data Scientist II
Tempe, AZ · Hybrid
$131K - $172K/yr
Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Experience deploying or supporting models in production environments This is an authentic Oscar ...
... environment. Required Qualifications * Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field, or an ...
... environment. Required Qualifications * Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field, or an ...
Data Scientist
Phoenix, AZ · On-site
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. • Strong ...
Data Scientist
Phoenix, AZ · On-site
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. • Strong ...
Data Scientist II
Phoenix, AZ · On-site
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 ...
Data Scientist II
Phoenix, AZ · On-site
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 ...
Data Scientist II
Phoenix, AZ · On-site
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 ...
Data Scientist II
Phoenix, AZ · On-site
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 ...
Environmental Data Science information
See Arizona salary details
$34.9K - $48.4K
2% of jobs
$48.4K - $61.9K
3% of jobs
$61.9K - $75.4K
6% of jobs
$75.4K - $88.8K
9% of jobs
$93.2K is the 25th percentile. Wages below this are outliers.
$88.8K - $102.3K
15% of jobs
The median wage is $111.3K / yr.
$102.3K - $115.8K
22% of jobs
$123.2K is the 75th percentile. Wages above this are outliers.
$115.8K - $129.2K
32% of jobs
$129.2K - $142.7K
3% of jobs
$142.7K - $156.2K
4% of jobs
$156.2K - $169.6K
1% of jobs
$169.6K - $183.1K
2% of jobs
$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?
| Aspect | Environmental Data Science | Environmental Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certifications | Usually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications |
| Work Environment | Research labs, data centers, environmental agencies, or consulting firms | Environmental agencies, research organizations, or consulting firms |
| Employer & Industry Usage | Used in environmental research, climate modeling, and policy analysis | Used 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:
Job description
Job Summary:
Caris Life Sciences is transforming cancer care through precision medicine and innovative approaches. The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, overseeing a multidisciplinary team and ensuring the delivery of impactful AI innovations.
Responsibilities:
• Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
• Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
• Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
• Establish governance and standards for model development, validation, documentation, and lifecycle management.
• Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
• Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
• Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
• Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
• Lead development of clinically interpretable reporting frameworks for physicians.
• Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
• Build, mentor, and lead high-performing teams of data scientists and computational biologists.
• Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
• Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.
Qualifications:
Required:
• PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
• 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
• Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
• Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
• Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
• Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
• Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
• Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
• Outstanding verbal and written communication skills.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
• This is an onsite role based at our Phoenix, AZ office and requires regular in‑person presence.
Preferred:
• Experience working in regulated clinical laboratory environments (CAP/CLIA).
• Familiarity with cloud computing platforms and large-scale data infrastructures.
• Experience translating advanced analytics into physician-facing clinical products.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Caris Life Sciences is transforming cancer care through precision medicine and innovative approaches. The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, overseeing a multidisciplinary team and ensuring the delivery of impactful AI innovations.
Responsibilities:
• Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
• Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
• Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
• Establish governance and standards for model development, validation, documentation, and lifecycle management.
• Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
• Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
• Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
• Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
• Lead development of clinically interpretable reporting frameworks for physicians.
• Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
• Build, mentor, and lead high-performing teams of data scientists and computational biologists.
• Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
• Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.
Qualifications:
Required:
• PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
• 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
• Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
• Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
• Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
• Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
• Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
• Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
• Outstanding verbal and written communication skills.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
• This is an onsite role based at our Phoenix, AZ office and requires regular in‑person presence.
Preferred:
• Experience working in regulated clinical laboratory environments (CAP/CLIA).
• Familiarity with cloud computing platforms and large-scale data infrastructures.
• Experience translating advanced analytics into physician-facing clinical products.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.