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Associate Computer Science Jobs in San Jose, CA (NOW HIRING)

GitHub

Principal Engineering Manager

San Francisco, CA · On-site +1

$159.10K - $213.20K/yr

OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 10+ years' experience in ...

Walmart

Senior, Data Scientist

Hayward, CA

$117K - $234K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior, Data Scientist

Cupertino, CA

$117K - $234K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior, Data Scientist

South San Francisco, CA

$117K - $234K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Associate Computer Science information

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$10

$22

$36

How much do associate computer science jobs pay per hour?

As of May 28, 2026, the average hourly pay for associate computer science in San Jose, CA is $22.17, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $23.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate in Computer Science, and why are they important?

To thrive as an Associate in Computer Science, you need foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What types of projects and technologies can an Associate Computer Science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is an Associate Computer Science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

What are the most commonly searched types of Computer Science jobs in San Jose, CA? The most popular types of Computer Science jobs in San Jose, CA are:
What are popular job titles related to Associate Computer Science jobs in San Jose, CA? For Associate Computer Science jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Associate Computer Science jobs in San Jose, CA look for? The top searched job categories for Associate Computer Science jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Associate Computer Science jobs? Cities near San Jose, CA with the most Associate Computer Science job openings:
Associate Computer Science jobs near you
Infographic showing various Associate Computer Science job openings in San Jose, CA as of May 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $46,106 per year, or $22.2 per hour.
Associate Data Scientist, New College Grad - 2026

Associate Data Scientist, New College Grad - 2026

Visa

Foster City, CA • On-site

$68.80K - $69.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Visa rating

8.8

Company rating: 8.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

3rd of 17 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
The Global Data Science team at Visa leverages our rich data - spanning over 3 billion card accounts and 100 billion transactions per year- and other third-party data sources to solve meaningful business problems.
We are seeking an Associate Data Scientist to support the data science efforts for Visa's Global Consumer Payments Data and Analytics team. The role is part of the Global Data Office and will work closely with senior data scientists and business partners in day-to-day operations, as well as supports strategic initiatives prioritized by Visa's Chief Data Officer. This associate will contribute to executing an analytics agenda that delivers insights and AI-powered solutions to improve Visa's products and services.
Essential Functions:
Hands-On Data Science & Innovation
  • Contribute to the development and deployment of analytics and machine learning models, supporting use cases from data exploration through validation and implementation under guidance from senior team members.
  • Apply Generative AI techniques (e.g., prompt engineering, LLM-based text analysis, summarization, and classification) to enhance data analysis, insight generation, and internal workflows.
  • Leverage largescale datasets using tools such as SQL, Python, R, or Hive, combining traditional statistical methods with ML and GenAI-assisted approaches to uncover trends and actionable insights.
  • Use AI-powered development tools (e.g., coding assistants, AutoML, and notebook automation) to accelerate experimentation, improve code quality, and increase productivity.
  • Build and maintain BI dashboards and reports, and support user adoption through documentation, walkthroughs, and guidance on best practices for BI usage.
  • Develop intuitive visualizations and dashboards to communicate insights and model outputs to technical and non-technical audiences.
  • Support model deployment and monitoring efforts, collaborating with data engineering teams and following established MLOps, data governance, and responsible AI guidelines.

Business Partnership & Strategy
  • Partner with product, marketing, operations, and finance teams to understand business questions and translate them into analytical tasks.
  • Assist in framing business problems into analytical approaches, contributing to data-driven solutions that inform product and operational decisions.
  • Present insights and recommendations using structured storytelling, clearly explaining assumptions, limitations, and potential business impact.
  • Support prioritization of analytics initiatives by considering business value, data availability, and technical feasibility in collaboration with senior team members.

Cross-Functional Collaboration
  • Communicate technical findings in simple, actionable terms to nontechnical partners and stakeholders.
  • Help drive adoption of analytics solutions by validating results, documenting methodologies, and demonstrating how insights address real business needs.
  • Collaborate closely with cross-functional teams to iterate on analyses and improve solutions based on feedback.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Statistics, Business or a related field, graduating May 2025 - August 2026.

Preferred Qualifications
  • 2+ years of experience in data analysis, quantitative modeling, or data driven decision making in an academic or professional setting.
  • Proficiency in SQL and Python for data analysis and modeling.
  • Experience extracting, transforming, aggregating, and analyzing large datasets using SQL, Python, R, and Spark, including exploratory data analysis and feature engineering.
  • Hands on experience using Generative AI or AI-assisted tools (e.g., LLMs, coding assistants, AutoML) to support data analysis, insight generation, or workflow efficiency.
  • Applied experience with Generative AI techniques, such as prompt engineering, text summarization, classification, or LLM assisted analysis, through coursework, projects, or professional work.
  • Familiarity with responsible AI considerations, including data privacy, bias awareness, and model limitations.
  • Solid foundation in statistics and machine learning, including regression, classification, and model evaluation techniques.
  • Hands on experience building descriptive and predictive models using machine learning libraries and tools such as scikit learn, Jupyter notebooks, Python, R, and/or SAS.
  • Exposure to data mining and statistical modeling techniques, including regression, clustering, decision trees, and related methods.
  • Experience in building and maintaining BI solutions using tools like Tableau, Power BI, or similar platforms, including metrics definitions, semantic layers, data quality validation, and user support.
  • Effective communication and collaboration skills, with the ability to explain data driven insights clearly to business stakeholders and translate analysis into actionable recommendations for technical and non-technical audiences.
  • Experience organizing and managing analytical work using productivity tools such as Excel, Word, PowerPoint, and collaboration platforms (e.g., Teams).
  • Exposure to financial services, payments, credit cards, or merchant analytics is a plus but not required.

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. Applicants Only
The estimated salary range for this position is $120000 to $ USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Visa logo

About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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