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Internship Conservation Data Science Jobs in Arizona

State Farm

Data Scientist

Tempe, AZ · Hybrid

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

State Farm

Data Scientist

Tempe, AZ

ET-D&AI provides data science support to internal business partners across State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Peoriaaz

Water Conservation Specialist

Peoria, AZ

$81K - $96K/yr

... environmental science, public administration, communications, or related field. Equivalency ... data tracking, leading the commercial programs, assisting with research and inter-departmental ...

Intel

Data Scientist

Phoenix, AZ · On-site

$190K - $269K/yr

... or Data Science or any other Engineering discipline. 2+ experience of years with LLMs and ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Arizona State Hospital

Job Page

Yuma, AZ · On-site

$48K - $55K/yr

If you thrive in rugged terrains, love scientific discovery, and want to lead critical conservation ... summer internships. Major duties will include: • Collect and compile biological data on ...

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Internship Conservation Data Science information

What are the key skills and qualifications needed to thrive as an Internship Conservation Data Science, and why are they important?

To thrive as an Internship Conservation Data Science, you need a solid grounding in data analysis, ecological principles, and statistics, typically supported by coursework or experience in environmental science or related fields. Familiarity with data analysis tools such as R or Python, GIS software, and data management systems is commonly required. Attention to detail, problem-solving abilities, and effective communication help interns collaborate with diverse teams and convey scientific findings. These skills enable interns to support evidence-based conservation decisions and contribute valuable insights to ecological projects.

What is the difference between Internship Conservation Data Science vs Conservation Data Analyst?

AspectInternship Conservation Data ScienceConservation Data Analyst
CredentialsTypically pursuing or recent graduate, no formal certification requiredBachelor's or master's in environmental science, data science, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in conservation organizations or research projectsFull-time role in NGOs, government agencies, or research institutions
ResponsibilitiesAssisting with data collection, basic analysis, and learning conservation data toolsAnalyzing conservation datasets, generating reports, supporting decision-making

Internship Conservation Data Science roles are entry-level, focused on learning and supporting data tasks, while Conservation Data Analysts are more experienced, responsible for in-depth analysis and reporting. Both roles are vital in conservation efforts but differ mainly in experience level and scope of responsibilities.

What is an Internship in Conservation Data Science?

An Internship in Conservation Data Science is a temporary position that provides students or recent graduates with practical experience in using data analysis and scientific methods to support conservation efforts. Interns typically assist with collecting, processing, and analyzing ecological or environmental data to help solve real-world conservation challenges. This role often involves using statistical software, geographic information systems (GIS), and programming languages like R or Python. The experience helps interns develop valuable skills for careers in conservation, environmental science, or data analytics.

What types of projects do Conservation Data Science interns typically work on, and how do these projects contribute to ongoing conservation efforts?

Conservation Data Science interns often engage in projects such as analyzing wildlife population data, developing data visualization dashboards, or building predictive models to inform conservation strategies. These projects are usually team-based and directly support larger research or conservation initiatives by providing actionable insights from complex datasets. Interns frequently collaborate with ecologists, GIS specialists, and other data scientists, gaining hands-on experience with real-world conservation challenges. This work not only helps interns develop technical and analytical skills but also contributes to evidence-based decision-making in conservation organizations.
What are the most commonly searched types of Conservation Data Science jobs in Arizona? The most popular types of Conservation Data Science jobs in Arizona are:
What are popular job titles related to Internship Conservation Data Science jobs in Arizona? For Internship Conservation Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Internship Conservation Data Science jobs in Arizona look for? The top searched job categories for Internship Conservation Data Science jobs in Arizona are:
Internship Conservation Data Science jobs near you
Student Assistant - Data Science

Student Assistant - Data Science

Arizona State University

Scottsdale, AZ • On-site

$15.25 - $19.50/hr

Part-time

Posted 10 days ago

Arizona State University rating

7.7

Company rating: 7.7 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

254th of 611 rated colleges and universities

Job description

Student Assistant, Data Science
In the role of Student Assistant - Data Science at ASU Enterprise Partners, you will contribute to the development and deployment of data science and AI solutions that create measurable business value. These may include analyses, predictive models, AI-enabled applications, automations, and other solutions designed to create business value. You will have the opportunity to explore new technologies and approaches, develop practical skills through hands-on experience, and make meaningful contributions to larger data science and AI initiatives with the support of experienced team members.
Your work will focus on developing and supporting data science and AI solutions that create measurable business value. We strive to align assignments with each student's technical background and areas of interest while providing opportunities to build new skills through hands-on experience. Projects may involve activities such as developing and validating queries, evaluating AI-generated outputs, supporting predictive models and deployed solutions, improving analytical workflows, or contributing to other initiatives that advance organizational goals.
Student employees are valued members of the Applied Data Science and Analytics (ADSA) team and have the opportunity to contribute to meaningful initiatives while expanding the technical and professional skills that support future careers in data science, analytics, artificial intelligence, and related fields.
This position requires approximately 20 hours per week. This is a hybrid position, with an expectation that the student works approximately 12 of the 20 weekly hours on-site.
What you'll do
  • Solution Development: Contribute to the development, testing, and refinement of data science, analytics, automation, and AI solutions that support business objectives.

  • Analysis & Evaluation: Assist with data analysis, solution testing, validation, and evaluation activities that support the delivery of effective solutions.

  • Solution Design & Implementation: Support the design and implementation of data-driven and AI-enabled solutions that create measurable business value.

  • Deployment & Integration: Assist with deploying, integrating, testing, and maintaining solutions to ensure they are reliable, scalable, and effective.

  • Collaboration: Partner with members of the Applied Data Science and Analytics (ADSA) team and other stakeholders to support organizational objectives.

  • Technology Application: Use modern data, analytics, cloud, and AI technologies to develop, evaluate, and support solutions.

  • Continuous Improvement: Help evaluate solution performance and contribute to ongoing enhancements based on business needs, feedback, and evolving technologies.

  • Communication: Communicate progress, results, technical concepts, and recommendations clearly to team members and stakeholders.

What you'll need
  • Technical Foundation: Experience with Python, SQL, and other data analysis, or technical tools commonly used in data science, analytics, software development, or artificial intelligence.

  • Analytical Thinking: Ability to evaluate information, break down complex problems, and contribute to data-driven and technology-enabled solutions.

  • Problem Solving: Demonstrated curiosity, critical thinking, and a willingness to learn new concepts, tools, and approaches.

  • Quantitative Reasoning: Comfort working with data and applying quantitative or computational methods to practical problems.

  • Technical Learning Agility: Interest in exploring and applying emerging technologies, methodologies, and tools in support of business objectives.

  • Communication Skills: Ability to communicate technical concepts, progress, findings, and recommendations clearly to both technical and non-technical audiences.

  • Collaboration: Willingness to work effectively as part of a team, contribute to shared goals, and engage constructively with feedback.

  • Adaptability: Ability to work across a variety of projects and responsibilities while balancing competing priorities and evolving requirements.

Relevant qualifications
  • Currently enrolled in a Bachelor's, Master's, or other graduate degree program at Arizona State University in a technical, quantitative, or analytical discipline, or a related field. Must have an expected graduation date of Fall 2027 or later.

  • Has developed foundational knowledge and skills relevant to data science, analytics, software development, artificial intelligence, or related areas through coursework, projects, research, or practical experience.

Preferred education and experience
  • Completion of an internship, research project, capstone, student organization project, or other hands-on experience involving data analysis, software development, artificial intelligence, analytics, automation, or related technical work.

  • Experience contributing to the development, testing, deployment, or support of technical solutions in academic, research, extracurricular, or professional settings.

Preferred skills and abilities
  • Technical Experience: Exposure to programming, data analysis, cloud technologies, artificial intelligence, automation, or related technical disciplines through coursework, projects, research, internships, or personal initiatives.

  • Data & Analytics Experience: Familiarity with working with structured or unstructured data to support analysis, reporting, decision-making, or solution development. Exposure to Google Analytics (GA4) is a plus.

  • Artificial Intelligence Exposure: Exposure to modern artificial intelligence concepts, tools, or applications and an interest in their practical use to solve real-world problems.

  • Cloud & Technology Platforms: Familiarity with cloud-based or distributed computing environments and an understanding of how technology components can be integrated to support scalable solutions. Experience with Google Cloud Platform (GCP) and BigQuery is a plus.

  • Solution Development Mindset: Interest in designing, building, testing, and continuously improving technical solutions that create measurable value.

  • Continuous Learning: Demonstrated enthusiasm for learning new technologies, methodologies, and approaches and applying them to evolving business challenges

Benefits
  • $30 bi-weekly cell phone reimbursement

  • Hands-on experience in a professional environment

  • Professional development plans

  • Opportunity to network with ASUEP leaders and other ASU students

  • Access to LinkedIn Learning and their 8,000+ courses

  • Professional skills workshops

About ASU Enterprise Partners
ASU Enterprise Partners is a nonprofit organization whose mission is to provide an ecosystem of services to create solutions and generate resources to extend Arizona State University's reach and advance its charter. ASU Enterprise Partners supports ASU and several affiliates, including the ASU Foundation for a New American University, ASU Outreach Hub, ASURE, NEWSWELL, Skysong Innovations and University Realty.
ASU Enterprise Partners is home to several Centers of Excellence whose purpose is to provide professional services to its affiliates. The Centers of Excellence include Finance, General Counsel, Investments, Public Relations and Strategic Communications, Human Resources, Facilities and Operations, Data Analytics and Insights Planning, Budgeting and Strategy, and Technology and Solutions.
At ASU Enterprise Partners
We serve
ASU and one another with integrity, trust and compassion
We engage
step up, own it, collaborate
We innovate.
continuously, fearlessly, make decisions and take risks
We care
that everyone feels respected and valued for who they are
ASU Enterprise Partners is an Equal Opportunity Employer

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