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Environmental Data Science Intern Jobs in Arizona

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 ...

Help integrate data into training and recovery planning. * Collaborate with coaches, therapists, and sports scientists to monitor athlete progress. * Support applied research, literature review, and ...

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 ...

... 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

Chandler, AZ · On-site

$140 - $190/hr

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 ...

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 ...

Sports Science Intern - Fall 2026

Phoenix, AZ · On-site

$15 - $19.75/hr

Help integrate data into training and recovery planning. * Collaborate with coaches, therapists, and sports scientists to monitor athlete progress. * Support applied research, literature review, and ...

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 ...

Experience developing, deploying, and maintaining machine learning models in production environments. * Strong understanding of cloud computing platforms and modern data science tools and ...

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 ...

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 ...

$20 - $22/hr

... environmental scans on workforce, education, economic development, artificial intelligence, and ... Selective Preference(s): • Pursuing a Bachelors in Economics, Data Science, Political Science ...

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 ...

Showing results 21-40

Environmental Data Science Intern information

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

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

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

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

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What are popular job titles related to Environmental Data Science Intern jobs in Arizona?

For Environmental Data Science Intern jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Environmental Data Science Intern jobs?

Cities in Arizona with the most Environmental Data Science Intern job openings:

Infographic showing various Environmental Data Science Intern job openings in Arizona as of August 2026, with employment types broken down into 6% Internship, 72% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution.

Vice President - Data Science

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Re-posted yesterday


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
The Vice President, Data Science provides senior leadership for Caris' AI-driven clinical insights and predictive modeling initiatives. This role leads the development of novel AI signatures leveraging Caris' large-scale clinico-genomic database to identify molecular characteristics of disease that are prognostic of patient outcomes or predictive of response to therapy.
The Vice President oversees a multidisciplinary team of data scientists, computational biologists, and translational researchers responsible for identifying clinically meaningful questions, developing and validating AI-based molecular signatures, and translating discoveries into scalable clinical reporting capabilities. Partnering with Executive Leadership, R&D, Clinical Development, Medical Affairs, Bioinformatics, Regulatory Affairs, and Commercial teams, this role ensures delivery of scientifically rigorous, clinically meaningful, and operationally scalable AI innovations that advance precision medicine.
Job 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.

Required Qualifications
  • 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 Qualifications
  • 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.

Physical Demands
  • Ability to sit, stand, and work at a computer for extended periods of time.

Training
  • All job-specific, safety, and compliance training assigned based on job responsibilities.

Other
  • May require occasional after-hours work to meet deadlines.
  • May require occasional travel.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.