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Entry Data Scientist 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 ...

Maricopa

Enterprise Data Solutions Manager

Phoenix, AZ · On-site

$155K - $187K/yr

... expected ENTRY pay range for this position based on experience and equity within the Judicial ... Bachelor's degree in Computer Science, Information Systems, Data Engineering, Business Intelligence ...

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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 2, 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 are Entry Data Scientists?

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 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.

What types of projects and responsibilities can an entry-level 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 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 July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Senior Data Scientist with Security Clearance

MANTECH

Chandler, AZ • On-site

Other

Re-posted 9 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 241 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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