1

Data Scientist Jobs in Arizona (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Data Scientist

Tucson, AZ · On-site

$74K - $172K/yr

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies, process, algorithms, and systems to extract insights from structured and unstructured data and to ...

Data Scientist I

Phoenix, AZ · On-site

$70 - $90/hr

POSITION SUMMARY The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI, data science, statistical, and programming skills to solve well-defined business ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Data Scientist

Phoenix, AZ · On-site

$80 - $85/hr

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and ...

Data Scientist

Phoenix, AZ · On-site

$80 - $85/hr

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and ...

The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI, data science, statistical, and programming skills to solve well-defined business problems. The ...

The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI, data science, statistical, and programming skills to solve well-defined business problems. The ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies to workforce and organizational data to generate actionable insights that support talent and ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies to workforce and organizational data to generate actionable insights that support talent and ...

The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI, data science, statistical, and programming skills to solve well-defined business problems. The ...

Showing results 21-40

Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Arizona?

The most popular types of Data Scientist jobs in Arizona are:

What cities in Arizona are hiring for Data Scientist jobs?

Cities in Arizona with the most Data Scientist job openings:

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

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

Infographic showing various Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $114,378 per year, or $55 per hour.

$50K/yr

Full-time

Re-posted 6 days ago


U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

100th of 297 rated public sector bodies


Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-07: Must have at least one year of specialized experience equivalent to GS-05 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) with close supervision or detailed instructions.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in preparing written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-09: Must have at least one year of specialized experience equivalent to GS-07 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts

    with

    open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) under supervision or with detailed guidance.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in the preparation of written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. Transcripts required.
GS-7 -1 year of graduate-level education or superior academic achievement
GS-9- 2 years of progressively higher level graduate education leading to a master's degree or master's or equivalent graduate degree
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Transcripts required.Employment Type: OTHER

What U.S. Department Of Homeland Security employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


U.S. Department of Homeland Security logo

About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003