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Data Science Major Jobs in Arizona (NOW HIRING)

Bachelor's degree in data science, Data Analytics, Engineering or related area. * 3-5 years of ... Benefits are a major part of your overall compensation, and we believe offering them at an ...

Leverage advanced technical skills in modern data architecture, data science engineering, data ... major transformational projects or transactions. Are you eager to shape the future of emerging ...

Major Responsibilities: Architectural Design and Implementation: Design and implement robust ... Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams ...

Bachelor's degree with a major in Data Science, Statistics, Business, Finance, Economics * Insurance Industry experience required * At least 5+ years of experience in the same or related role ...

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona ... Bachelor's degree required by the time of hire; degree in a physical science, engineering, data ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Experience supporting a new site startup, major implementation, or large-scale business ...

... Data Science groups. This role is centered on co-designing scalable and secure architectures that align technology, people, and processes to achieve business outcomes. A major responsibility is ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Experience supporting a new site startup, major implementation, or large-scale business ...

Showing results 21-40

Data Science Major information

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are popular job titles related to Data Science Major jobs in Arizona? For Data Science Major jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Data Science Major jobs? Cities in Arizona with the most Data Science Major job openings:
Infographic showing various Data Science Major job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Operations Data Analyst

Shamrock

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Job description

The Operations Data Analyst works with cross-functional leadership teams to capture the business needs, create and manage data analysis, reporting, competitive analysis and analytics solutions that turn the data into knowledge. (S)he will manage data and analytics for a variety of projects from inception to postexecution, working with business, operations, finance and technical teams on data collection, analysis and presentation, operationalizing analytics. (S)he will drive change in the business through compelling arguments derived from data. Timely, accurate and concise performance in this role will be essential for improving revenue, operational effectiveness and customer satisfaction.
Essential Duties:
  • Partner with internal Business, Product, Engineering, & Finance teams to prioritize business and information needs.
  • Identify, analyze, and interpret data using statistical techniques to identify trends or patterns in complex data sets.
  • Serve as authoritative resource on standard metrics, methodologies and domain knowledge for operational analytics.
  • Deliver Solutions - Partner with development teams to implement analytics templates and processes to meet long term business needs.
  • Communication - Own communications to project members and partners on progress, issues, and risks including regular status updates.
  • Locate and define new process improvement opportunities.
  • Monitoring data integrity for accuracy in reporting.
  • Utilizing broad understanding of all business lines and operational practices to provide ad hoc analysis as needed.
  • Identifying future opportunities for reporting products and improved efficiencies.
  • Other duties as assigned.

Qualifications:
  • Bachelor's degree in data science, Data Analytics, Engineering or related area.
  • 3-5 years of experience in data analytics. Reporting and Business Intelligence experience preferred.
  • Familiarity with managing, analyzing & manipulating large datasets.
  • Intermediate to Advanced MS SQL experience preferred.
  • Strong working knowledge of Microsoft Excel.
  • Demonstrated critical thinking skills and ability to draw conclusions based on data.
  • Ability to work across cross-functional groups and ensure ability to influence and execute across groups.
  • Good interpersonal and communication skills, and ability to deal with ambiguity and influence change in a rapidly changing business environment.
  • Must be flexible and willing to work the demands of the department which may be subject to evenings, weekends and holidays.

Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission:
At Shamrock Foods Company, we live by our founding family's motto to "treat associates like family and customers like friends."
Why work for us?
Benefits are a major part of your overall compensation, and we believe offering them at an affordable cost is not only the right thing to do, but it helps keep you and your family healthy. That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home more of your paycheck. And it doesn't stop there - our associates also enjoy additional benefits such as 401(k) Savings Plan, Profit Sharing, Paid Time Off, as well as our incredible growth opportunities, continued education and wellness programs.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.