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Data Science Entry Jobs in Arizona (NOW HIRING)

Tripoint Solutions LLC

Logistics Specialist

Marana, AZ · On-site

$50K - $72K/yr

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.

Credibly

Paralegal II

Tempe, AZ · Hybrid

$27 - $30/hr

At Credibly, we leverage cutting-edge data science, technology, partner relations, and customer ... Perform data entry and filing tasks while maintaining meticulous records of case activities and ...

The State of Arizona

INTERN - (ITD)

Phoenix, AZ · On-site

$16.50 - $17.60/hr

Managing detailed data entry with a high level of accuracy and attention to detail * Using ... Candidates must be enrolled in a degree program related to Information Technology, Computer Science ...

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How much do data science entry jobs pay per hour?

As of Jul 12, 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.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

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 are Data Science Entry jobs?

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.

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

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

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 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.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What are popular job titles related to Data Science Entry jobs in Arizona? For Data Science Entry jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Arizona look for? The top searched job categories for Data Science Entry jobs in Arizona are:
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 July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% 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

Senior Data Scientist with Security Clearance

MANTECH

Chandler, AZ • On-site

Other

Re-posted 18 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 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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