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Entry Level Python Data Science Jobs in Phoenix, AZ

State Farm

Data Scientist

Tempe, AZ · Hybrid

Our data science teams also embrace staying current with the evolving data science landscape ... SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

... science, machine learning, or applied analytics * Strong Python + advanced SQL skills for data manipulation, modeling, and EDA * Experience developing and evaluating ML models in real-world ...

Zenotis Technologies INC

Data Scientist

Phoenix, AZ · On-site

This role requires someone who can work across the complete data science lifecycle--from ... The ideal candidate has strong expertise in Python, SQL, and PySpark , enjoys solving business ...

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Entry Level Python Data Science information

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$58

$85

How much do entry level python data science jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for entry level python data science in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Phoenix, AZ? For Entry Level Python Data Science jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Phoenix, AZ look for? The top searched job categories for Entry Level Python Data Science jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Entry Level Python Data Science jobs? Cities near Phoenix, AZ with the most Entry Level Python Data Science job openings:
Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.
Student Assistant - Data Science

Student Assistant - Data Science

ASU Enterprise Partners

Scottsdale, AZ • Hybrid

$15.25 - $19.50/hr

Part-time

Posted 7 days ago

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 explorenew technologiesand 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 andhave the opportunity tocontribute to meaningful initiatives while expanding the technical and professional skills that support future careers in data science, analytics, artificial intelligence, and related fields.

This positionrequiresapproximately 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 businessobjectives.

  • 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, andmaintainingsolutions 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 organizationalobjectives.

  • 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:Experiencewith 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:Demonstratedcuriosity, 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 businessobjectives.

  • 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, ora relatedfield.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 toprogramming, 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) andBigQueryis a plus.

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

  • Continuous Learning:Demonstratedenthusiasm for learningnew 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,SkysongInnovations 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,trustand 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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