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Masters In Computer Science Jobs in Fresno, CA (NOW HIRING)

Accredited Bachelor's degree from an accredited college in Computer Science, Computer Engineering, or Electrical Engineering WORK HOURS * Full-Time * 4/10 work schedule * 1st Shift ADDITIONAL ...

Regular and predictable attendance is required. * 10+ years of experience in foundational Computer Science knowledge and object-oriented design and software patterns. * Experience with space ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required) * Strong product instincts & passion for social media, technology, and staying current with ...

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Masters In Computer Science information

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$18.6K

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$120.9K

How much do masters in computer science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for masters in computer science in Fresno, CA is $59,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,672.00 and $69,513.00 per year, depending on experience, location, and employer.

What is a master's in computer science?

A Masters in Computer Science is a graduate-level degree program that provides advanced knowledge and skills in computer science. It typically covers topics such as algorithms, programming, data structures, artificial intelligence, machine learning, and software engineering. The program is designed for individuals who want to deepen their understanding of computer science, advance their careers, or prepare for doctoral studies. Most programs require students to complete coursework, projects, and sometimes a thesis or capstone project. Graduates are prepared for roles in software development, data science, research, and other technology-focused careers.

What types of roles and industries commonly hire professionals with a master's in computer science?

Professionals with a Master's in Computer Science are highly sought after in a variety of industries, including technology, finance, healthcare, government, and academia. Common roles include software engineer, data scientist, machine learning engineer, systems architect, and IT project manager. Many organizations value the advanced technical knowledge and research skills gained during the program, which can also open doors to leadership or specialized research positions. Additionally, the collaborative nature of most computer science projects means you can expect to work in cross-functional teams with engineers, analysts, and business stakeholders.

What are the key skills and qualifications needed to thrive as a computer scientist with a master's degree, and why are they important?

To thrive as a Computer Scientist with a Master’s degree, you need advanced knowledge in algorithms, programming, and software development, usually demonstrated through a relevant graduate degree. Familiarity with programming languages such as Python, Java, or C++, and proficiency in tools like Git, databases, and cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this role. These skills ensure that professionals can design innovative solutions, collaborate efficiently, and adapt to evolving technological challenges.

Is a master's in computer science worth doing?

A master's in computer science can enhance technical skills, improve job prospects, and qualify individuals for advanced roles such as software engineer, data scientist, or systems analyst. It often leads to higher salaries and increased opportunities in fields like artificial intelligence, cybersecurity, and software development, especially when combined with practical experience and certifications. However, the value depends on career goals, industry demand, and the program's quality.

Is it easier to get a computer science job with a master's in computer science?

A master's in computer science can improve job prospects for computer science roles by providing advanced technical skills, specialized knowledge, and often a competitive edge over candidates with only a bachelor's degree. However, securing a job also depends on factors like experience, certifications, and the current job market. While a master's degree can open doors to more senior or specialized positions, it does not guarantee easier employment compared to candidates with less education.

What can a master's in computer science get you?

A master's in computer science can qualify you for advanced roles such as software engineer, data scientist, or systems analyst. It often provides specialized knowledge in areas like algorithms, machine learning, and software development, increasing job opportunities and earning potential in the tech industry.

What jobs can a masters in computer science get you?

A master's in computer science can lead to roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What cities near Fresno, CA are hiring for Masters In Computer Science jobs?

Cities near Fresno, CA with the most Masters In Computer Science job openings:

Infographic showing various Masters In Computer Science job openings in Fresno, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $59,966 per year, or $28.8 per hour.

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Fresno, CA • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Re-posted 17 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on September 30th 2026. 

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on September 30th 2026. 

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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