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 ...
If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also ...
If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also ...
Sr. Analyst, Data Science
Tempe, AZ · On-site
$85.90K - $143.17K/yr
Senior Analyst, Data Science Where ambition meets innovation Build a career that matches all your ... From cutting-edge resources and a collaborative environment to the freedom to make an impact and ...
Sr. Analyst, Data Science
Tempe, AZ · On-site
$85.90K - $143.17K/yr
Senior Analyst, Data Science Where ambition meets innovation Build a career that matches all your ... From cutting-edge resources and a collaborative environment to the freedom to make an impact and ...
Sr. Analyst, Data Science
$85.90K - $143.17K/yr
From cutting-edge resources and a collaborative environment to the freedom to make an impact and ... This role is ideal for a data scientist who is equally comfortable writing code, building models ...
Sr. Analyst, Data Science
$85.90K - $143.17K/yr
From cutting-edge resources and a collaborative environment to the freedom to make an impact and ... This role is ideal for a data scientist who is equally comfortable writing code, building models ...
They are seeking a visionary Senior Manager of AI & Data Science to lead a team in delivering ... environments. • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance ...
They are seeking a visionary Senior Manager of AI & Data Science to lead a team in delivering ... environments. • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance ...
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 ...
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 ...
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 ...
Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and ...
Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and ...
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 ...
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 ...
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 ...
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 ...
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 ...
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
$131.20K - $172.20K/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
$131.20K - $172.20K/yr
Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Experience deploying or supporting models in production environments
The Data Science Manager will provide leadership for our comprehensive data science and AI ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...
The Data Science Manager will provide leadership for our comprehensive data science and AI ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...
Data Science Manager - AI Trainer
Phoenix, AZ · On-site +1
$60/hr
Qualifications 2+ years of hands‐on experience in a quantitative role or research environment -- such as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...
Data Science Manager - AI Trainer
Phoenix, AZ · On-site +1
$60/hr
Qualifications 2+ years of hands‐on experience in a quantitative role or research environment -- such as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...
Data Scientist II
Tempe, AZ · On-site
$131.20K - $172.20K/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
$131.20K - $172.20K/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 - Senior
Scottsdale, AZ · On-site +1
The Data Science team within it ensures IAIC and IPH remain at the forefront of actuarial and ... Ability to manage multiple priorities and projects in a fast-paced environment, both independently ...
Data Scientist - Senior
Scottsdale, AZ · On-site +1
The Data Science team within it ensures IAIC and IPH remain at the forefront of actuarial and ... Ability to manage multiple priorities and projects in a fast-paced environment, both independently ...
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 May 28, 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.
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 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 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 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 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:
- Part Time Environmental
- Environmental Ecology
- No Experience Environmental Science
- Overnight Environmental Science Government
- Environmental Planning
- Environmental Science Gis Intern
- Environmental Science Water
- Environmental Chemistry
- Data Science Environmental Sustainability Freelance
- Environmental Archaeology
Full-time
Posted 7 days ago
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.