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Entry Data Scientist Jobs in Arizona (NOW HIRING)

ALS

Data Entry Clerk 1

Phoenix, AZ

$17 - $22.50/hr

When you join us, you'll be part of a global team harnessing the power of scientific testing and ... The Data Entry Clerk will enter data sent from customers on labels and forms into our laboratory ...

ALS

Data Entry Clerk 1

Phoenix, AZ · On-site

$17 - $22.50/hr

When you join us, you'll be part of a global team harnessing the power of scientific testing and ... The Data Entry Clerk will enter data sent from customers on labels and forms into our laboratory ...

ALS

Data Entry Clerk 1

Phoenix, AZ · On-site

$17 - $22.50/hr

When you join us, you'll be part of a global team harnessing the power of scientific testing and ... The Data Entry Clerk will enter data sent from customers on labels and forms into our laboratory ...

Tripoint Solutions LLC

Logistics Specialist

Marana, AZ · On-site

TPS teams are bringing automation and data science into areas of the government that are crying out ... Experience with data entry, data validation, and maintaining accurate records in enterprise systems.

TSMC

Entry, AMHS Technician

Phoenix, AZ · On-site

$17 - $22/hr

Entry, AMHS Technician This position is a full-time temporary/contract position as a TSMC employee ... Associate of Science degree (AAS) * 3+ years of experience in a mechanical, maintenance or ...

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All JobsEntry Data Scientist JobsEntry Data Scientist Jobs in Arizona

Entry Data Scientist information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do entry data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for entry data scientist in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

What are the key skills and qualifications needed to thrive as an entry data scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

What is the difference between Entry Data Scientist vs Data Analyst?

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

Can I get an entry data scientist job with no experience?

Entry data scientist roles typically require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, internships, or strong analytical skills can sometimes qualify for entry-level positions. Building a portfolio of projects and obtaining certifications can improve chances of securing such roles without formal work experience.

How to start a career in data science with no experience?

Entry data scientists can begin by building foundational skills in programming languages like Python or R, and learning data analysis and visualization tools such as SQL and Tableau. Gaining hands-on experience through online courses, tutorials, and personal projects helps demonstrate competence to employers. Earning certifications like those from Coursera or edX can also enhance credibility and improve job prospects.

What are popular job titles related to Entry Data Scientist jobs in Arizona?

For Entry Data Scientist jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Entry Data Scientist jobs in Arizona look for?

The top searched job categories for Entry Data Scientist jobs in Arizona are:

What cities in Arizona are hiring for Entry Data Scientist jobs?

Cities in Arizona with the most Entry Data Scientist job openings:

Entry Data Scientist jobs near you
Infographic showing various Entry Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Senior Data Scientist with Security Clearance

Chandler, AZ • On-site

MANTECH
IT Services • 5 - 10K employees

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about MANTECHexternal

Other

Re-posted 7 days ago

Job description

MANTECH is seeking a motivated, career, and team-oriented Senior Data Scientist to support a DHS customer in Chandler, AZ OR the National Capital Region. As part of this mission, you will help the organization maintain its prestigious designation as a Cybersecurity Service Provider (CSP) and Center of Excellence (COE). Our team manages a global footprint of 53,000+ nodes across complex cloud environments, generating a rich, high-velocity telemetry stream. You'll have the unique opportunity to engineer features across the entire Cyber Kill Chain, building ML-driven defenses to neutralize APTs. From implementing Zero Trust logic to preparing for Post-Quantum Cryptography, you will transform terabytes of raw network data into proactive, automated security intelligence. Responsibilities include but not limited to: * Design technical solutions for predictive risk analysis and risk mapping.
* Develop machine learning algorithms for User & Entity Behavior Analytics (UEBA).
* Engineer automated workflows to merge disparate data sources.
* Utilize data-driven insights to model the Cyber Kill Chain, predicting the next moves of Advanced Persistent Threats
* Design and maintain algorithmic risk-scoring engines that prioritize security alerts
* Create data models to determine the impact of cyber incidents. Minimum Qualifications: * Master's or PhD in a quantitative field (e.g., Statistics, Computer Science).
* 5+ years of machine learning engineering or data science experience.
* Certified Analytics Professional (CAP) certification.
* Proven experience working with complex cloud environments in AWS, Azure, GCP, or Oracle.
* Strong written and analytic skills Preferred Skills: * Proficiency in Python, JSON, C++, or Java and containerization (Kubernetes/Docker).
* Effective communication skills, presenting relevant technical information to government representatives
* Experience with post-quantum computing assessment/implementation Clearance Requirements: * Must be a U.S. Citizen.
* Must be able to obtain and maintain a Secret clearance.
* Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements: * Must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers and customers.

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