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Entry Level Data Science Jobs in Phoenix, AZ (NOW HIRING)

SynergisticIT

Junior Java Developer

Peoria, AZ

We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

Infosys

Associate - Campus

Phoenix, AZ · On-site

The Associate role is an entry level position designed for recent graduates in Computer Science and ... Computer Science, Information Technology, Software Engineering, Data Science, Computer Engineering ...

SynergisticIT

Junior DevOps Engineer

Goodyear, AZ

$51.25 - $70/hr

Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning ... entry level position the additional skills and Project work with hands on experience building ...

Actalent

Entry Level Recruiter | Sales Trainee

Tempe, AZ · On-site

$45K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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Entry Level Data Science information

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

As of Jul 27, 2026, the average hourly pay for entry level data science in Phoenix, AZ is $18.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.25 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Phoenix, AZ? The most popular types of Data Science jobs in Phoenix, AZ are:
What are popular job titles related to Entry Level Data Science jobs in Phoenix, AZ? For Entry Level Data Science jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Phoenix, AZ look for? The top searched job categories for Entry Level Data Science jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Entry Level Data Science jobs? Cities near Phoenix, AZ with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level 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 $39,348 per year, or $18.9 per hour.
Junior Data Scientist with BI Skills

Junior Data Scientist with BI Skills

SynergisticIT

Phoenix, AZ • On-site

Other

Posted 17 days ago

Job description

Recent CS Graduate — Stop Applying Randomly and Start Building a Strategy A computer science degree is valuable, but many recent graduates discover that a degree alone does not automatically lead to interviews. Employers often expect candidates to show practical skills, project depth, interview confidence, and familiarity with tools used in real software or data teams. If your applications are not converting, your profile may need stronger job-ready proof. SynergisticIT is looking for recent graduates interested in Java, Python, full-stack development, DevOps, SQL, data analytics, data science, machine learning, and AI programming. This opportunity is a strong fit for bachelor’s and master’s graduates in computer science, engineering, math, statistics, information systems, or related fields. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is useful because it helps candidates organize their career launch around a process. The focus is not just learning more—it is learning what matters for hiring, building projects that demonstrate capability, improving resume alignment, preparing for technical interviews, and approaching the job market with structure. If you are ready to move from graduate to job-ready candidate, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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