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Data Scientist Machine Learning Jobs in Arizona (NOW HIRING)

The Data Scientist supports a 24x7 Security Operations Center (SOC) by designing, developing, and ... Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert ...

The Opportunity The Data Scientist Lead will work closely with the Data Science Director to ensure ... Leads and conducts advanced analytics leveraging machine learning, simulation, and optimization to ...

The Opportunity The Data Scientist Lead will work closely with the Data Science Director to ensure ... Leads and conducts advanced analytics leveraging machine learning, simulation, and optimization to ...

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US:

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US:

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Showing results 1-20

Data Scientist Machine Learning information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do data scientist machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data scientist machine learning 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 is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Arizona? The most popular types of Data Scientist Machine Learning jobs in Arizona are:
What are popular job titles related to Data Scientist Machine Learning jobs in Arizona? For Data Scientist Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Arizona look for? The top searched job categories for Data Scientist Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Data Scientist Machine Learning jobs? Cities in Arizona with the most Data Scientist Machine Learning job openings:
Infographic showing various Data Scientist Machine Learning 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 $114,378 per year, or $55 per hour.
Data Scientist / Active TS/SCI

Data Scientist / Active TS/SCI

Peraton

Chandler, AZ

$135K - $216K/yr

Full-time

Re-posted 12 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

41st of 210 rated it services


Job description

Responsibilities

Peraton is seeking to hire an experienced Data Scientist for its Federal Strategic Cyber group. 

Location: Chandler, AZ or Washington DC.

Roles and Responsibilities:

  • The Data Scientist supports a 24x7 Security Operations Center (SOC) by designing, developing, and operationalizing advanced analytics and machine learning solutions that enhance threat detection, response automation, and operational decision-making.
  • This role provides technical leadership and translates complex security data into actionable insights.

You will: 

  • Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert fidelity, prioritization, and response effectiveness.
  • Analyze large volumes of security telemetry from SIEM, SOAR, EDR, network, and cloud platforms.
  • Build and maintain data pipelines, feature engineering processes, and model validation workflows.
  • Integrate analytics into SOC tools and operational workflows using Docker- and Kubernetes-based architectures.
  • Apply MITRE ATT&CK and related frameworks to align analytics with adversary behaviors and threat use cases.
  • Provide technical solution design and act as a technical lead or mentor for data science and analytics personnel.
  • Collaborate closely with SOC analysts, threat hunters, and engineers to operationalize insights.
  • Produce technical documentation, model performance metrics, and leadership-level briefings.
  • Support continuous improvement of SOC analytics, automation, and detection capabilities.
Qualifications

Required: 

  • Bachelor's degree with minimum 8 years experience. An additional 4 years of experience may be considered in lieu of the degree requirement. 
  • Minimum of 7 years Intelligence experience with IC Management or Supervision related experience. 
  • Knowledge of MITRE ATT&CK, D3FEND, Diamond Model, Kill Chain frameworks
  • Possess and maintain one of the following certifications:
    • CISM, CySA+, GCIA + CFR, Network+, Security+, or CEH
  • U.S. citizenship required. 
  • Active TS/SCI security clearance.
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

Pay

Benefits

Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017