ZipRecruiter

Log In

1

Data Science Machine Learning Jobs in Arizona (NOW HIRING)

LPL Financial

Sr. Analyst, Data Science

Tempe, AZ · On-site

$83.70K - $105.50K/yr

S. seeking a Senior Analyst in Data Science to uncover insights that drive strategic decisions and ... machine learning models to support segmentation, prediction, and optimization use cases. • ...

Wise Skulls

AI/ML Data Scientist

Phoenix, AZ · On-site

Required Qualifications * 6+ years of experience in data science or applied machine learning roles. * Strong communication and stakeholder management skills. * Strong proficiency in Python (NumPy ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

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.

Republic Services

Data Scientist I

Phoenix, AZ · On-site

Builds statistical and machine-learning models to enhance understanding of trends and predict future performance * Participates in end-to-end data science project lifecycle - data mining and ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills * Experience training and implementing supervised and unsupervised machine learning ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills * Experience training and implementing supervised and unsupervised machine learning ...

Deloitte

AI Data Engineer - Manager

Tempe, AZ · On-site

... teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design. • Gather inputs from multiple stakeholders to align technical ...

Deloitte

AI Data Engineer Manager

Tempe, AZ · On-site

... teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design. • Gather inputs from multiple stakeholders to align technical ...

Varsity Tutors

Machine Learning Tutor

Tempe, AZ · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Glendale, AZ · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$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 ...

next page

Showing results 1-20

People also search for

All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Arizona

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 May 30, 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, and why are they important?

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 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.

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 are popular job titles related to Data Science Machine Learning jobs in Arizona? For Data Science Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Science Machine Learning jobs in Arizona look for? The top searched job categories for Data Science Machine Learning jobs in Arizona are:
Data Science Machine Learning jobs near you

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Posted 15 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.