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Computer Science Data Jobs in Phoenix, AZ (NOW HIRING)

Varsity Tutors

AP Computer Science A Tutor

Mesa, AZ · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

AP Computer Science A Tutor

Chandler, AZ · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

AP Computer Science A Tutor

Glendale, AZ · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

AP Computer Science A Tutor

Gilbert, AZ · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

AP Computer Science A Tutor

Phoenix, AZ · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

AP Computer Science A Tutor

Tempe, AZ · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

College Computer Science Tutor

Tempe, AZ · Remote

$40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Familiar with college computer science curricula and common challenges such as understanding ...

Varsity Tutors

College Computer Science Tutor

Mesa, AZ · Remote

$40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Familiar with college computer science curricula and common challenges such as understanding ...

APS

Data Scientist / Data Scientist, Senior

Phoenix, AZ · On-site

... Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field * PLUS minimum four(4) years directly related data analytics, data science, predictive modeling ...

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Computer Science Data information

What are some common challenges faced by professionals working in computer science data roles, and how can they be addressed?

Professionals in computer science data roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and keeping up with rapidly evolving technologies. Collaboration with cross-functional teams is essential, as data professionals frequently work with engineers, analysts, and business stakeholders to interpret data and deliver actionable insights. To address these challenges, it's important to invest in continuous learning, leverage automation tools for data cleaning, and maintain clear communication channels within the team.

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

AspectComputer Science DataData Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentSoftware development, data engineering, algorithm designData interpretation, reporting, visualization
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing, healthcare
Common Search & ComparisonOften compared for data handling and programming skillsCompared for data interpretation and business insights

Computer Science Data professionals focus on developing algorithms, managing data systems, and building software solutions. Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a Data Scientist in Computer Science, and why are they important?

To thrive as a Data Scientist in Computer Science, you need strong analytical skills, proficiency in statistics, and a solid background in programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, and machine learning frameworks, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Excellent problem-solving abilities, communication skills, and curiosity help you interpret data insights and explain findings to non-technical stakeholders. These skills ensure you can extract actionable insights from complex data, drive business decisions, and collaborate effectively within multidisciplinary teams.

What is computer science data?

Computer science data refers to the information that is processed, analyzed, and utilized within the field of computer science. This data can include anything from raw numbers and text to images, audio, and video, and is often used in programming, machine learning, artificial intelligence, databases, and data analysis. Understanding how to collect, store, structure, and interpret data is a fundamental skill for computer scientists and is crucial for solving real-world problems using technology.
Computer Science Data jobs near you

Data Scientist

SD Department of Veterans Affairs

Phoenix, AZ

$106K/yr

Other

Posted 4 days ago

Job description

This position supports the Veterans Benefits Administration (VBA), Medical Disability Examination Office (MDEO) in Washington, D.C. The primary purpose for this position is to serve as a Data Scientist, supporting the data architecture modernization and sustainment, and analyzing data and trends associated with medical disability examinations associated with Veterans and their claims.

Qualifications:To qualify for this position, applicants must meet all requirements by the closing date of this job opportunity announcement, 06/22/2026.
INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) / BASIC REQUIREMENT:

  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

    or

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

To qualify at the GS-13 grade level: In addition to basic requirements, applicants must have completed at least 1 full year (52 weeks) equivalent to the next lower grade level of GS-12, in a federal, state and/or private setting. Specialized experience for this position must include: (1) Experience using SQL querying language (such as Oracle SQL or PLSQL) to acquire data from relational databases for data science projects. (2) Experience using data mining techniques to design and execute data science projects. (3) Experience using data visualization tools (such as Microsoft Power BI or Tableau) for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
Examples of specialized experience for this position may include:
  1. Experience preparing and analyzing structured and unstructured datasets for exploration and evaluating data science centric models.
  2. Experience working with multiple data types and formats as a part of a data science project.
  3. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration
  4. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects.
  5. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project.
  6. Experience planning and executing a variety of data science and/or analytics projects.
There is no educational substitution authorized for the grade level of GS-13.
Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Full-Time vs. Part-Time Employment: Full-time employment is considered to be at least 35 hours per week. Part-time experience will be credited on a pro-rated basis; when including part-time employment in your resume you must specify the average hours worked per week.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at http://://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Education:An unofficial or official copy of your transcripts must be submitted with your application if you are basing all or part of your qualifications on education.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education: http://ope.ed.gov/accreditation/
If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: Recognition of Foreign Qualifications | U.S. Department of EducationEmployment Type: OTHER

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