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Data Science Entry Jobs in Arizona (NOW HIRING)

HealthCorps

Monitoring & Evaluation Intern

Phoenix, AZ · Remote

Perform data entry and updates in organizational databases and program tracking systems. * Support ... Current undergraduate or graduate student studying public health, data science, social sciences, or ...

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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How much do data science entry jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data science entry in Arizona is $18.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.38 per hour, depending on experience, location, and employer.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically serve as starting points for careers in data science and may require relevant internships, coursework, or certifications.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is it possible to get a data science entry-level job with no experience?

Data science entry-level positions often require some foundational skills in programming, statistics, and data analysis, but many employers consider candidates with relevant coursework, certifications, or personal projects even without formal work experience. Building a portfolio with projects using tools like Python, R, or SQL can improve chances of securing such roles. Internships and apprenticeships also provide pathways for those new to the field.
What cities in Arizona are hiring for Data Science Entry jobs? Cities in Arizona with the most Data Science Entry job openings:
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,746 per year, or $18.1 per hour.

Senior Data Scientist with Security Clearance

MANTECH

Chandler, AZ • On-site

Other

Re-posted 16 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies

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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