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Data Scientist Machine Learning Jobs in Arizona (NOW HIRING)

Revolutional, LLC

Data Scientist III

Chandler, AZ

Stay current on advances in machine learning, AI security applications, and emerging data science ... methodologies relevant to the federal cybersecurity domain What You Bring (Requirements)Baseline ...

QuantumClean

Data Scientist

Phoenix, AZ

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

State Farm

Data Scientist

Tempe, AZ

Overview State Farm is seeking data scientists with experience in artificial intelligence, machine learning, and other advanced analytics methods to support the growing demand for data science ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

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 ...

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 ...

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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 Jun 27, 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 ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

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.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—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:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% 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 (Remote)

Data Scientist (Remote)

Sprouts Farmers Market

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 803 frontline employees who took The Breakroom Quiz

22nd of 118 rated grocery stores

Job description

Overview
This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us.  The Data Scientist will join a team of other data scientists and analysts in helping develop the machine learning models, recommender systems and processes to make that vision a reality. 

Overview of Responsibilities

Analytics & Business Partnering (70%)

  • Collaborate with cross functional stakeholders to understand business requirements/KPIs to design, develop & execute analytical solutions that support decisions and improve business outcomes
  • Analyze data, identify anomalies and provide actionable insights to support business partners
  • Conduct analyses with high degree of precision and accuracy with readily available tools
  • Predict, test and measure organization initiatives to identify impacts to business outcomes
  • At regular business intervals, update and distribute reports, dashboards, presentations to executive leadership
  • Drive continuous improvements throughout the organization by improving the speed in which we can transform data into decisions, actions and quantifiable results.
  • Respond to ad hoc data and analysis requests to support business partners
  • Provide leadership and direction to ensure processes and procedures are in place to effectively use data to monitor and manage business performance.

 

Development, Machine Learning & Maintenance (30%)

  • Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create recommendations or other personalized content
  • Work with IT to implement machine learning models into production
  • In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database servers supporting the Enterprise and Customer Analytics team.
  • Continually improve the efficiency/usability of BI capabilities for business users
  • Participate in projects to improve business intelligence capabilities, master data management, data governance, etc.
  • Continually validate the integrity of data sources and partner with internal and external teams to remedy issues as necessary
  • Develop processes and algorithms to cleanse/standardize/join disparate data sources
  • Partner with internal and external teams to integrate new sources of data into existing datasets and/or improve the reliability and availability of existing datasets

#LI-CS1


Qualifications
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • 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 models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you’re hired as an eligible employee, you’ll be able to transfer the money you’ve already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don’t have to wait for payday to access the money you’ve already worked for. With DailyPay, you can see how much you’ve made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.


Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Qualifications:
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • 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 models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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