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Data Scientist Machine Learning Jobs in Arizona (NOW HIRING)

Intel

Data Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

... scientist to support Thermal Compression Bonding (TCB) process control, manufacturing data ... Develop and validate data analytics and machine learning models to support: process monitoring ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ

$135K - $216K/yr

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 ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

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 ...

Intel Corporation

Data Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

... scientist to support Thermal Compression Bonding (TCB) process control, manufacturing data ... Develop and validate data analytics and machine learning models to support: process monitoring ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

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 ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

As a Data Scientist at SmartRent, you will work at the intersection of our property technology ... You\'ll build and deploy production-grade machine learning solutions, partnering closely with Data ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

As a Data Scientist at SmartRent, you will work at the intersection of our property technology ... You'll build and deploy production-grade machine learning solutions, partnering closely with Data ...

Orbotech

Data Scientist - Palantir Developer

Phoenix, AZ · On-site

$110K - $187K/yr

Support AI and machine learning use cases within the Foundry ecosystem. * Collaborate with cross ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

Kla

Data Scientist - Palantir Developer

Phoenix, AZ · On-site

$110K - $187K/yr

Support AI and machine learning use cases within the Foundry ecosystem. * Collaborate with cross ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

Pwc

AI & GenAI Data Scientist-Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

New

Axon

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:

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Showing results 41-60

All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Arizona

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 Aug 8, 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?

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.

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.

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:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning 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 $114,378 per year, or $55 per hour.

Principal Data Scientist - Factory Intelligence (Tucson)

Prattwhitney

Tucson, AZ • On-site

$107K - $204K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Principal Data Scientist – Factory Intelligence

Location: Tucson, Arizona. Work type: Hybrid. U.S. citizens only. Security clearance: Secret (required prior to start, interim clearance available).

What you will do
  • Transform factory data into actionable intelligence that improves production performance.
  • Collaborate with Engineering, Operations, and Quality teams to build and deploy predictive analytics solutions.
  • Develop models that directly impact yield, reduce variation, and support smarter decision‑making.
  • Design, deploy, and maintain production‑grade machine learning solutions.
  • Build intuitive data visualization tools and statistical analysis applications.
  • Partner with stakeholders to translate complex data into clear, practical insights.
  • Provide technical leadership and mentor junior data scientists and engineers.
  • Establish best practices in applied data science across the organization.
  • Become a subject‑matter expert in factory test data and uncover opportunities for improvement.
  • Solve challenging, data‑driven manufacturing problems and deliver measurable production enhancements.
  • Work directly with customers to ensure data is fully leveraged to improve performance.
  • Contribute to scalable, production‑ready data science solutions and help advance the organization’s analytics standards.
  • Operate effectively in a fast‑paced, multi‑tasking environment.
Qualifications You Must Have
  • University degree or equivalent experience and a minimum of 8 years of relevant experience, or an advanced degree and a minimum of 5 years of experience.
  • Experience developing in Python (NumPy, SciPy, scikit‑learn, scikit‑image) for production‑grade statistical or machine learning applications.
  • Demonstrated experience deploying, maintaining, and scaling machine learning models in production environments.
  • Experience with relational database management and SQL development.
  • U.S. citizen. Active and transferable U.S. government‑issued security clearance required prior to start; U.S. citizenship required as only citizens are eligible for a clearance.
Preferred Qualifications
  • Experience with statistical tools such as Minitab, R, JMP, or SAS.
  • Strong knowledge of machine learning pipelines and MLOps practices (e.g., MLflow), including versioning, monitoring, and lifecycle management.
  • Strong experience applying quantitative techniques (normalization, standardization, applied statistics) to analyze large, complex datasets and build deployable machine learning models, including in cloud environments such as AWS or Azure.
  • Experience designing, training, fine‑tuning, and deploying deep learning models using frameworks such as PyTorch or TensorFlow.
  • Experience working with large language models (LLMs), including fine‑tuning, evaluation, and deployment; or demonstrated deep knowledge of LLM concepts and architectures.
  • Experience operating in a technical leadership or mentoring role.

Salary range: $107,500 - $204,500 USD.

Benefits are available to Hired applicants, including medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits depend on the business unit and collective‑bargaining agreement.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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