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Data Science Machine Learning Jobs in Arizona (NOW HIRING)

Machine Learning Operations Expert

Globe, AZ ยท On-site

$50.25 - $68.75/hr

Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders ... Experience in machine learning, data science, or software engineering roles. * Experience in MLOps ...

By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation.

The Data Scientist will play a crucial role in developing advanced analytics and machine learning solutions to enhance supply chain efficiency and operational performance. Responsibilities : โ€ข ...

Data Scientist

Phoenix, AZ ยท On-site

$110 - $140/hr

Build, test, validate, and optimize machine learning and statistical models. * Deliver insights and ... Proven ability to translate business challenges into practical data science solutions. * Strong ...

New

Lead AI and Data Science Engineer II

Tempe, AZ ยท On-site

$98K - $129K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Machine Learning Tutor

Scottsdale, AZ ยท Remote

$18 - $40/hr

... 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 ...

Machine Learning Tutor

Chandler, AZ ยท Remote

$18 - $40/hr

... 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 ...

Machine Learning Tutor

Tempe, AZ ยท Remote

$18 - $40/hr

... 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 ...

Machine Learning Tutor

Glendale, AZ ยท Remote

$18 - $40/hr

... 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 ...

Machine Learning Tutor

Phoenix, AZ ยท Remote

$18 - $40/hr

... 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 ...

Machine Learning Tutor

Tucson, AZ ยท Remote

$18 - $40/hr

... 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 ...

Machine Learning Tutor

Gilbert, AZ ยท Remote

$18 - $40/hr

... 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 ...

Machine Learning Tutor

Mesa, AZ ยท Remote

$18 - $40/hr

... 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 ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Showing results 41-60

Data Science Machine Learning information

See Arizona salary details

$34.9K

$114.4K

$183.1K

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

As of Aug 12, 2026, the average yearly pay for data science 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 are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
Infographic showing various Data Science Machine Learning job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Machine Learning Operations Expert

Globe Telecom, Inc.

Globe, AZ โ€ข On-site

$50.25 - $68.75/hr

Full-time

Re-posted 12 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The MLOps role is all about leading and managing the deployment, management, maintenance and optimization of machine learning models in production environments.

DUTIES AND RESPONSIBILITIES:

  • Strategic Planning - develop and execute MLOps strategy aligned with Globe's objectives

  • Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective .

  • Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle

  • Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining

  • Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models.

  • Model Governance - guides the implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards

  • Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices

REQUIREMENTS:

  • Experience in machine learning, data science, or software engineering roles.

  • Experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization

  • Proven track record of managing projects and leading teams.

    Knowledge of data privacy regulations and best practices in model governance and security.

    Willingness to continuously learn and adapt to new technologies and methodologies in the MLOps domain.

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Soft Skills:

  • Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and translate technical concepts into business terms.

  • Strong problem-solving abilities and analytical thinking

Hard Skills:

  • Proficiency in programming languages such as Python, R, or Java.

  • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC).

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.